juxtconsult india online 2007 online travel booking

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Online Travel Booking Report

India Online 2007

Table of Content India Online 2007 ......................................................... 1 India Online 2007 Reports............................................... 2 Methodology............................................................... 4 Executive Summary ...................................................... 8 Key Findings ..............................................................10 Detailed Findings Reading the Graphs & Tables..........................................22 Popularity of Online Travel as an Activity...........................24 Demographic Profile ....................................................26 Socio-Economic Profile .................................................33 Economic Profile.........................................................38 Net Usage Status.........................................................43 Net Usage Dynamics.....................................................49 Preferred Net Activities ................................................60 Most Used Websites .....................................................76 Most Used Offline Media Brands.......................................97 Response to Online Marketing Stimuli.............................. 101 Offline Brands Recalled .............................................. 102 Segment Wise Detailed Tables ...................................... 103 Appendix ................................................................ 165

India Online 2007

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India Online 2007 The India Online 2007 study is not just an annual update over the previous year's India Online 2006 study but rather a continuation of JuxtConsult’s efforts to keep improving the quality of the study every year. The improvements made in the study this year not only involve further strengthening of the research methodology but also enhancing the coverage of the information, especially in the emerging areas of internet usage in the country like blogging, social networking and language website usage. Accordingly the India Online 2007 set of reports will not only provide you the most recent estimates on the Internet user-ship, its growth and penetration in India but will also give you an 'insightful' understanding of the current net usage behavior and preferences of various kinds of online Indians. Like in the year 2006, JuxtConsult conducted two large-scale 'primary' surveys, one offline and one online to complete the study this year as well. However, the sample size for the 'land' survey (which is used to estimate the size of internet using population in urban India) was almost doubled this year to further improve the coverage among the various population strata in urban India. The land survey, conducted during April 2007, covered 10,000 households across 31 cities of various sizes across all the four regions of the country. The 'online' survey was conducted among 3 of the most popular and generic portals in Indian with the focus on capturing the in-depth net usage behaviors and preferences of online Indians. This survey was conducted by JuxtConsult between April-May 2007 and over 14,200 in-depth and usable responses were collected and analyzed for final reporting. There is one key difference in the study this year compared to the last year. To make our findings more representative of the entire urban online population and not just the Internet users who are more likely to respond to online surveys, this year we have ‘linked’ the findings of our online survey with the findings of our land survey. This was done by deriving appropriate individual level ‘weights’ for Internet users from the land survey and then applying them to the data of the online survey. The key information included in the various reports cover the demographic and socio-economic profiles of the net users, their ownership of household assets, the source and place of their access to internet, net usage dynamics, preferred online activities, website preferences for over 20 key online activities, online buying behavior and spends, response to online marketing stimuli, offline media preferences, and much more. In sum, what you get in India Online 2007 you are unlikely to get elsewhere:

Highly credible latest estimate of internet using population in urban India Key insights on various aspects of internet usage in India An understanding of online Indians as 'consumers' and not just as faceless

net users How to reach these online consumers on the net, as well as through the

offline mediums Preferred 'user shares' of key online brands in 21 different online activity

categories

Online Travel Booking

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India Online 2007 Reports Main report

Overall Status and Usage of Internet in India

User segment supplementary reports

Women on the net Youth on the net (teenagers and young adults) Net users by their socio-economic (SEC) profile Students on the net Corporate employees on the net IT professionals on the net Heavy Online Spenders on the net Bloggers on the net Car owners on the net Two-wheeler owners on the net Mobile phone owners on the net Credit card owners on the net Net users by place of access (homes, place of work, cyber cafes) Net users by type of connection (broadband, dial-up) Net users by town population size (10 lakhs plus, 5-10 lakhs, 1-5 lakhs,

Below 1 lakh) Net users by town market size (metros, urban uptowns, emerging towns,

others) Net users as financial investors Vernacular language net users

Category supplementary reports: (comparative profiling of top 5 websites)

Online shopping Emailing Job search Matrimony Info search - English Info Search - Local language Online travel Social networking/communities Friendship / dating Online news Financial info/news Online share trading Cinema content Sports content Online music Online games Online real estate

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Mobile content download Astrology Online learning/education

Note - All supplement reports are subject to sufficiency of sample responses. Demographic segment wise details by gender, age, SEC classification, region and place of net access are included in each of the reports as appendix tables.


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Methodology In order to derive highly robust and authentic estimates of the current user-ship of Internet in India, and draw out a truly representative internet usage behavior patterns, we at JuxtConsult keep improving and refining our research methodology for the India Online study every year. In 2007, we have again brought in two significant improvements:

We have increased our land survey sample base to 10,000 (from 5,500 last year) and the coverage of the number of cities to 31 (from 21 last year). The distribution of these 31 cities continues to be well spread across the 4 regions of the country. But more importantly, in terms of coverage of towns by their population size, we dug deeper this year and covered all town classes that have population of 20,000 individuals and above.

Further, to better capture the internet usage across all types of socio-

economic classes (SEC) in urban Indian, we allocated equal sample quota among the 5 broad socio-economic classes A, B, C, D and E across various zones within a town, and then across the town classes and regions. To correct for and put back the real representation of the socio-economic classes (and not equal representation) during the data processing stage, we incorporated the appropriate SEC 'weights' derived from the actual urban population statistics from authentic govt. Sources (National Sample Survey Organization and Census of India).

These two refinements in the sampling methodology ensured that this year we get an even better representation of various types of internet users in urban India. Like last year, this year again we conducted both a land survey and an online survey separately, with the focus of the land survey being on estimating the size of the internet using population in urban India, and that of the online survey on capturing the net usage behavior and preference patterns. The two surveys had some common questions on demographic profiles and net usage behavior to help us link up the two sets of data at the processing stage.

The Land Survey

The objective of the land survey was two fold. First, to help us estimate the internet user-ship in urban India, as with a land survey we could cover both the user and non-user population of the internet in a representative way. The other objective was to derive relevant demographic 'multipliers' from this survey which could then be applied to the internet usage data collected in the online survey. The use of these 'individual' level multipliers helped us make the online survey findings 'representative' of the entire urban online population and not just of those who are more likely to fill up an online surveys (because of factors like convenience of access, regularity of usage, attractiveness of the incentive prize offered for filling the survey, etc.). The land survey undertaken this year was again a household level survey across 10,000 households in 31 cities spread across all regions of India. The survey was conducted and completed between mid-April to early-May 2007. Care was taken that all relevant classes of towns with population size of over 20,000

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individuals were covered and surveyed across each of the 4 regions of the country. Within a city, 5 geographical locations were chosen, one each in the north, south, east, west and central parts of the city. From each location within a city an equal number of households from the five socio-economic classes A, B, C, D, and E were surveyed. The cities where the land surveys were conducted and the size of the sample data collected from each of these cities are as follows: Table 1: Detailed sample base distribution of the land survey

Region City/ Town City Class Sample Size City Class

Delhi 10 lakh + 401

Kanpur (UP) 10 lakh + 297

Ludhiana (Pun) 10 lakh + 302

Patna (Bih) 10 lakh + 303

Allahabad (UP) 5 lakh – 10 lakh 298

Ajmer (UP) 1 lakh – 5 lakh 314

10 lakh +

Bhadohi (UP) 50 K – 1 lakh 299

Muradnagar (UP) 50 K – 1 lakh 300

North

Sohna (Har) 20 K – 50 K 307

Mumbai (Mah) 10 lakh + 399

Ahmedabad (Guj) 10 lakh + 404

Pune (Mah) 10 lakh + 300

5 lakh - 10 lakh

Rajkot (Guj) 5 lakh - 10 lakh 301

Dewas (MP) 1 lakh - 5 lakh 303

Hinganghat (Mah) 50 K - 1 lakh 307

Mhowgaon (MP) 20 K - 50 K 296

West

Katol (Mah) 20 K - 50 K 276

Kolkata (WB) 10 lakh + 398

1 lakh – 5 lakh

Guwahati (Ass) 5 lakh – 10 lakh 299

Bhubneshwar (Ori) 5 lakh – 10 lakh 303

Raniganj (WB) 1 lakh – 5 lakh 300

Bhatapara (Chat) 50 K – 1 lakh 252

East

Champa (Chat) 20 K – 50 K 292

Chennai (TN) 10 lakh + 407

50 K – 1 lakh

Bangalore (Kar) 10 lakh + 406

Hyderabad (AP) 10 lakh + 410

Mysore (Kar) 5 lakh – 10 lakh 329

Kozhikode (Ker) 1 lakh – 5 lakh 300

Nellore (AP) 1 lakh – 5 lakh 300

Cheruvannur (Ker) 50 K – 1 lakh 294

South

Edapaddi (TN) 20 K – 50 K 305

20 K - 50 K

Total (31) - - 10002 Total (31) To check for both the 'regular' as well as 'occasional' usage of the Internet, at each of the 10,000 households contacted it was queried:

If any member of the household use the Internet 'at all' from anywhere (home or any location outside)? And

If any member of the household use the Internet ‘at least once a month’ from anywhere (home or any location outside)?


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Some further questions related to the specifics of demographic profile of the head of the household, their knowledge of English, computer usage, and asset ownership of the household were also asked from the respondent. The usage of computer and Internet was separately checked for each member of the household from the respondent. The above information about the head of the household, especially their education and occupation profile (thereby identifying their socio-economic or SEC classification) together with the town size class and region were used to link up to the similar authentic Government of India data to estimate the Internet user-ship as well as to generate the appropriate 'multipliers' that were to be applied to the data collected from the online survey.

The Online Survey

The online survey was used to collect the in-depth information on internet usage patterns and other media usage patterns among the various types of net users. This was done through a 'large-scale' online survey conducted between end-April to mid-May 2007 among the users of three of the biggest and most generic portals in India, namely Yahoo, Rediff and Google. On one end, the email properties of Yahoo, Rediff and Google (Gmail) were used through online survey campaigns to target the widest possible base on internet users in a random manner and collect responses (as these three email portals together cover almost all email users with a personal email id in the country). At the same time, to cover for whatever may have got missed out in these survey campaigns on email portals, a parallel 'contextual search' based survey ad campaign was run using Google AdSense. All the survey campaigns were paid for and officially run by these portals among their users. The overall online survey campaign used a combination of banner ads, e-mailers and contextual search ads through these portals. The online survey was conducted using an e-questionnaire segmented into three sections. The questionnaire was pre-tested and timed to take approximately 15-20 minutes for a respondent to complete depending on the speed of comprehension and answering of the questions. The questionnaire was structured and designed to reduce the level of 'respondent fatigue' to an extent that was practically possible. In this year's study, the information area coverage (in the online questionnaire) was also enhanced and fine tuned somewhat to keep abreast with the changing and evolving Indian online space:

The net usage behavior and preferences of new phenomena like blogging, social networking and language content checking were included.

In terms of capturing website preferences, 6 more online activity categories were included this year to take their coverage to 21. The new categories added were instant messaging, real estate, online info search engine in local languages, astrology, online share trading and online learning/education.

The question about 'blogging' was fine tuned to segregate usage behavior between only reading blogs, posting comments on blogs and having a blog site of one's own.

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In the online questionnaire, a response format of 'clicking' a single or multiple options among the various given options was used for most questions. For each of these questions it was also possible for a respondent to answer 'none' or 'any other'. However, wherever the respondents were asked to give preferences for websites or brand names, only a text box was provided for them to type the name on their own (or type 'none' if not applicable). This was done to ensure that all such recall and actual usage preference responses were solicited 'unprompted'. Further, to enlist complete and sincere responses, an incentive of a significant cash prize was also announced for one selected respondent to be given at the end of the survey. Over 26,000 unduplicated and clean responses were collected from the online survey campaign in about 31/2 weeks time. Of these, all 26,000 responses were complete on user profiles and their net usage behavior information. Around 14,200 responses were complete in all aspects, including various online activities undertaken and website preferences. Thus, the responses from the three sections of the online survey have different valid sample bases and have been reported accordingly. All the usable responses after data cleaning were then collated, crosschecked and processed for tabulation and analysis. While doing the tabulation, any errors and spelling mistakes in typing of the brand names, etc. By the respondents were carefully checked and corrected. Finally, the appropriate weights (multipliers) as derived from the land survey were incorporated into the usable online survey responses to make them more 'representative' of the entire urban online population. Further, for questions that asked for preferred websites names, to remove the possible 'source' bias towards any specific generic portal among the three generic portals used, an 'equalization' correction factor was also incorporated. The net result was the compilation of the latest, highly authentic and representative database on the Internet habits and website preferences of online Indians. This database was then used for making 'insightful' analysis and conclusions as contained in the various reports of the India Online 2007 study. Last but not least, in this year's reports we have brought in the presentation of the 'changes' in the usage behavior and preferences vis-à-vis the last year. Wherever relevant, these changes have been presented graphically along with all the current year's data charts, graphs and tables. Note - Because of a deeper and more robust coverage of internet usage among the smaller towns (down to 20,000 population town classes), and among all the socio-economic classes in this year's land survey, there is likely to be an element of 'correction' seen in this year's data (as compared to the previous year's). These corrections are likely to be more visible in some of the demographic, socio-economic and economic profile of online Indians. The correction factor may also apply, though assumedly not to the same degree, to the current year's data on net usage behavior and website preferences.


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Executive Summary Online travel is the biggest ‘buying’ activity in the India online space. 84% of the all online buyers have bought a travel product online (air tickets, train tickets, hotels and tour packages). There are as many as 44% online buyers who have bought only a travel product online and nothing else. Yet, though online travel usage has had a tremendous impact in the growth of ‘online shopping’ among the existing online population, it has had little impact so far in bringing in ‘new’ users to the overall internet user base per se. Online travel is also a ‘prime’ online activity per se. 36% of all regular online Indians have bought a travel product online. If we also add those who ‘search’ for travel information online but haven’t bought yet, then the proportion of travel website users reaches 58%. At this level of usage, online travel becomes the 7th most popular online activity among the urban Indians. In numbers, about 9 million regular online urban Indians buy travel products online, while almost 15 million search or buy travel products online. ‘Train tickets’ continue to be the most bought travel product online. 53% of all online buyers have bought a train ticket, the highest for any product bought online. Air tickets follow at the 2nd spot at 45%. Air and train tickets are also the biggest ‘gainers’ of the buyer base when compared to the last year numbers (+23% and +20% respectively). Train and air tickets also show the best online ‘search-to-buy’ conversion ratios at 0.5 and 0.4 respectively. Train ticket buyers form the biggest ‘exclusive’ base of online travel buyers. Train tickets also show the highest levels of ‘exclusive’ online buyers at 41%. In comparison, exclusive buyers of air tickets online are 31% and of hotels only 3%. The ‘exclusive’ buyer base of air tickets has shown the most growth in the last one year, with the ‘common pool’ of train and air tickets buyers coming down from 40% last year to only 20% this year. Online travel users show better socio-economic profile than the overall net users. Online travel users are marginally more male, come from larger towns, are somewhat more comfortable in reading in English, and come relatively more from SEC ‘A’ homes (30% as against 24% all net users). Accordingly, they are more employed and have more households falling in Rs.30,000 plus monthly family and own more cars and credit cards. Interestingly, online ‘train’ travel users (IRCTC users) show better socio-economic profile than air travel users, though they fall behind in terms of the premium ‘lifestyle’ asset ownerships. Online travel users are the more ‘evolved and ‘active’ net users. Online travel users are not only more experienced users of the net, but they access the net more frequently, are relatively ‘heavier’ users of the net from home, and undertake most of the online activities more than the overall net users. They

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especially check business/finance related information and personal interest and entertainment information relatively more. IRCTC is getting reduced to a ‘default’ train ticket buying website. IRCTC, which used to be the most visited travel website on preferred basis last year (at 38%), has lost significant ground and declined to the 3rd spot with only 15% preferred usage share this year. The decline of IRCTC is partly a result of the tremendous growth in air ticket searching and buying on the net (and therefore increased usage of air travel portals) and partly a result of the ‘erosion’ of its preferred user base. 25% of all online travel users buy only train tickets online. Of this 15% ‘prefer’ to use IRCTC among all travel websites, while 10% use it as a ‘default’ travel website as they cannot buy train tickets any where else online. Makemytrip leads the category, but Yatra ‘skyrockets’ to become a close second. Makemytrip is the no. 1 travel website in India with a 17% preferred usage share. However, ‘Yatra’ has gathered an impressive 16% preferred usage share within the first year of its launch. Most other ‘specialized’ travel portals like Travelguru, Cleartrip and Travel.com have also gained preferred usage share. On the other hand, apart from Google, the generic portals (Rediff, Indiatimes and Yahoo) have lost usage share. This trend is not surprising given the hectic brand building and advertising the category has seen in last one year. Makemytrip and IRCTC users show more ‘premium’ profiles and more ‘evolved’ net usage behavior. Among the ‘specialized’ travel portals, Makemytrip preferring users show the most premium profiles and the most evolved net usage behavior. At the same time, travel users of all the ‘specialized’ travel website show more ‘premium’ economic profiles and more ‘evolved’ net usage behavior as compared to the generic portals offering online travel products.


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Key Findings Online travel booking is the biggest ‘buying’ activity in India online space A substantial 84% of the all online buyers have bought a travel product online (air tickets, train tickets, hotels and tour packages, etc.). In comparison, only 56% of all online buyers have bought a non-travel product online (books, cds, clothes, electronic gadgets, computer software, hardware, consumer durables, etc.). In effect, it means that there are only 16% online buyers who have bought other products but not a travel product online. On the other hand, there are as many as 44% online buyers who have bought only a travel product online and nothing else.

Graph 1: Online buying of travel vs. non-travel products

16% 44% 40%

Buy Travel Products Online 84%

Buy Other Products Online

56%

Online travel usage is a ‘prime’ online activity At the overall Internet user level (and not just online buyers), of the 43% regular online urban Indian who buy online, 19% buy only travel products online, 17% buy both travel and non-travel products and just 7% buy only non-travel products online. In effect, it means that 36% of all regular online Indians buy travel products online (while only 24% buy non-travel products online). If we also add those who ‘search’ for travel information online but haven’t bought yet, then the proportion of total internet users who ‘use’ travel website reaches 58%. In numbers, it means that about 9 million regular online urban Indians buy travel products online, while almost 15 million search or buy travel products online. It also means that 6 million online Indians (or 42% all online travel website users) only ‘search’ for travel products online.

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At this level of usage, online travel becomes one of the top 10 online activities undertaken by online Indians today. Table 2: Most popular online activities (Top 10)

Rank Online Activity % Internet Users Undertaking (2007)

1 Emailing 95%2 Job Search 73%

3 Instant messaging 62%

4 Check news 61%5 Music 60%6 Chatting 59%7 Online travel 59%8 Check sports 58%9 E-greetings 57%

10 Online games 54% Train tickets continue to be the most bought travel product online The top 2 of the top 10 products bought on the net are train tickets (53%) and air tickets (45%), way ahead of all the other products bought online. Table 3: Most popular products bought online (Top 5)

Rank Product % of Online Buyers 2007

% of Online Buyers 2006

Increase over 2006

1 Train Ticket 53% 34% 20%2 Air Ticket 45% 22% 23%3 Books & Magazines 21% 29% -8%4 Clothes & Accessories 21% 28% -8%5 CD/VCD/DVDs 19% 24% -5%9 Hotel/Tours 14% 9% 5%

Train and air tickets are also the biggest ‘gainers’ when compared to the last year numbers. In fact, air tickets come up from being the 7th most bought product online last year to become the 2nd most bought product online this year. Accordingly, train and air tickets also show the best online ‘search-to-buy’ conversion ratios. Table 4: Products with best online search-to-buy conversion ratios (Top 5)

Rank Product% of Internet

Users Searching (2007)

% of Internet Users Buying

(2007)

Search-to-Buy

Conversion Ratio

1 Train Ticket 25% 13% 0.512 Air Ticket 28% 11% 0.393 Movie Tickets 9% 3% 0.364 Antiques & Collectables 3% 1% 0.345 Clothes & Accessories 16% 5% 0.31

12 Hotel/Tours 13% 3% 0.27


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As a category, online travel also accounts for much higher per capita average monthly spends than non-travel products, both for personal consumption as well as official consumption. The per capita ‘claimed’ average monthly spends by online travel users for ‘personal’ travel purposes is Rs.3,114, with 2 out of 3 online travelers spending in the range of Rs.500 to Rs.5,000. In case of official use, 2 out of 3 online travelers spend above Rs.2,000 per month, with the per capita ‘claimed’ average monthly spend being Rs.4,629. Table 5: Monthly average spends on travel products (per capita)

Office Use

Personal Use

Monthly Spend on Travel Products (Rs.) 4,629 3,114 Monthly Spend on Non-travel Products (Rs.) 2,755 2,193 Train ticket buyers continue to form the biggest base of online travel buyers Almost 2 out of 3 online travel buyers (64%) buy train tickets on the net. In comparison a little over half of online travel users buy air tickets. Booking of hotels lag behind significantly with only 1 in 5 online travel buyer (18%) doing so. Train tickets also show the highest levels of ‘exclusive’ buyers at 41% (almost the same proportion as last year). In comparison, exclusive buyers of online air tickets form 31% of the total online travel buyer base (almost doubling over last year’s proportion of 17%). This clearly indicates that buyer base of air tickets have shown the most growth in the last one year. Only 3% of all online travel buyers are exclusive bookers of hotels online. Graph 2: Buying of online travel products

Train Ticket Only 41%

Air Ticket Only 31%

Hotel Only 3%

11%

9 %

3% 3%

Train Ticket – 64% Air Ticket – 54%

Hotel – 18% A noticeable change from the last year is seen in the ‘common pool’ of train and air ticket buyers. While this common pool was 40% last year, it has come down to only 20% this year (11% + 9%).

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Online travel users show somewhat better socio-economic profile than the overall net users Online travel users have almost similar demographic and socio-economic profiles as the overall net users, except that the online travel users are marginally more male, come from larger towns, are somewhat more comfortable in reading in English (47% against 41% all net users), and come relatively more from SEC ‘A’ homes (30% as against 24% all net users). Accordingly, they are more employed and have 5% more households which fall in the Rs.30,000 plus monthly family, have 5% more cars and 9% more of each credit cards and debit cards. Interestingly, online ‘train’ travel users (IRCTC website users) show better socio-economic profile than the air travel users. But when it comes to pure ‘economic’ profile, train travel users do fall behind somewhat, but mostly in terms of the premium ‘lifestyle’ assets. Table 6: Profile of online train travel users vis-à-vis all online travel users

% of Online Train Travel Users

% of All Online Travel Users

Socio-Economic Attributes Belong to SEC ‘A’ and ‘B’ 67% 62%Employed users 75% 67%User is chief wage earner of the HH 63% 50%Prefer to read in English 49% 47%Graduate plus users 73% 68%Pure Economic Attributes Belong to Rs.30,000+ MHI 26% 28%Car ownership in the HH 30% 34%Credit cards owned in the HH 46% 44%Air conditioner owned in the HH 24% 30%Mobile phone in the HH 93% 92%Computer/laptop in the HH 73% 72%Bank account in the HH 89% 85%Demat account in the HH 27% 26%Home ownership in the HH 59% 60%

Note - SEC – Socio-economic Classification, MHI – Monthly Household Income, HH - Household

Online travel users are relatively more ‘evolved’ net users At the overall level, online travel users are also more experienced net users with 73% of them having over 2 years of net usage experience (against 63% for all net users). Higher proportions of them are on the net several times a day both from home and office, and are also relatively ‘heavier’ users of the net from both the places (in duration of usage per usage day). At the same time, the fact that a smaller proportion of online travel users have less than 1 year net usage experience (14% as against 20% for all net users) indicates that fewer ‘new’ internet users indulge in online travel bookings in their first year of net usage. This also suggests that though online travel usage has had a tremendous impact in growth of online shopping among the existing


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online population, it has had little impact so far in bringing in ‘new’ users to the overall internet user base per se. Online travel users are the more ‘active’ net users

On the whole, online travelers undertake various online activities a lot more than the overall internet user. The ones that stand out the most are related to ‘specific search’ activities on the net, especially related to checking business/finance related information and personal interest and entertainment information. Table 7: Online activities undertaken ‘relatively’ more by online travel users

Top 10 Online Activities % of Online

Travel Users

Undertaking

% of All Internet Users

Undertaking

% of Online Travel Users Undertaking

More Sample Base 7.089 14,253 Check financial info 75% 45% 30%Check real estate info 65% 37% 29%Mobile content (ring tones/games) 76% 50% 26%Matrimonial search 73% 48% 25%Social networking/communities 69% 44% 25%Astrology 70% 46% 25%Check news 84% 61% 22%Check sports 80% 57% 22%Online games 77% 54% 22%Educational/learning material 70% 48% 22% However, in absolute terms the ‘usually’ more popular communication activities like emailing and instant messaging also figure in the list of online activities they undertake the most when online. Table 8: Most popular online activities among the online travel users (Top 10)

Online Activities % of Online Travel Users Undertaking

% of All Internet Users Undertaking

Sample Base 7,089 14,253Emailing 96% 95%Job search 87% 73%Check news 84% 61%Instant messaging 82% 62%Check sports 80% 57%Music 79% 60%Online games 77% 54%Mobile content (ring tones/games) 76% 50%Check financial info 75% 45%Matrimonial search 73% 48%

Online travel users also undertake the more ‘evolved’ (or involving) online activities like blogging and social networking noticeably more than the overall net users. Against 30% of all internet users involved in the ‘blogosphere’ and 41% being member of an online community, a relatively higher 36% of online

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travel users are involved in blogging and 45% are members of an online community. Online travel users are also more responsive to online marketing stimuli as compared to the overall net user. They click on banner ads and participate in online contests somewhat more (4%-5%) than the overall net users. IRCTC is increasingly getting reduced to a ‘default’ train ticket buying website

IRCTC, which used to be the most visited (used) travel website on preferred basis till last year (at 38%), has lost significant ground and declined to the 3rd spot with only 15% preferred usage share this year. Table 9: Top 10 online travel booking websites by most preferred usage (including IRCTC)

Rank Website % Use on Preferred Basis (2007)

Increase over 2006

1 Makemytrip 17% 7% 2 Yatra 16% 16% 3 IRCTC 15% -23% 4 Google 11% 6% 5 Yahoo 8% -1% 6 Rediff 5% -2% 7 Indiatimes 3% -3% 8 Travel 3% 1% 9 Travelguru 2% 2%

10 Cleartrip 2% 2% The decline of IRCTC on one hand reflects the tremendous growth in air ticket searching and buying on the net (and therefore the increased usage of air travel portals) and on the other hand of IRCTC increasingly becoming the ‘default’ travel website of mostly those train ticket bookers who do not visit any other travel website as they just search or buy only train tickets online (IRCTC is the only website offering train ticketing, being a government owned monopoly). This deteriorating position of IRCTC among online travel users is also clear from the fact that though 41% of all online travel buyers (or 25% of all online travel users)1 buy only train tickets, just 15% say that they prefer to use IRCTC the most of all the travel websites. In other words, 10% of all online travel users who buy nothing but only train tickets online do not prefer to use IRCTC but have to use it by ‘default’ as they cannot buy train tickets any where else online.

Makemytrip leads the category, but Yatra ‘skyrockets’ to become a close second

Makemytrip improved its preferred usage share from last year by 7% to become the most popular travel website of 17% online travel users. This makes it the no. 1 travel website in India on the preferred usage basis.

1 Online travel users = Online travel buyers + Online travel searchers


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However, the surprise pack of the year has been ‘Yatra’ which has within a year of its launch gathered an impressive 16% preferred usage share among the online travel users. Apart from Makemytrip and Yatra, some other specialized travel portals like Travelguru, Cleartrip and Travel.com have also gained preferred usage share. On the other hand, apart from Google, the generic portals offering online travel services directly (Rediff and Indiatimes) or indirectly (Yahoo) have lost usage share. This trend is not surprising given the hectic brand building and advertising the online travel category has seen in last one year from the specialized travel portals like Makemytrip, Yatra, Cleartrip and Travelguru.

Google’s gain may be attributed largely to a fast growth market, where a lot of very new or inexperienced evolved users start their search from Google and attribute the usage to ‘Google’ rather than to the travel website they landed on through Google search (as they probably do not recall the travel website per se).

As IRCTC is the only train ticket buying website, it is also necessary to look at and report the performance of all non-train ticket travel websites among themselves (i.e. Excluding IRCTC). This market ‘cut’ reflects the preferred usage share of all online travel websites that compete directly with each other for online ‘air travel’ and ‘hotel booking’ market. As seen from the table below, even in this market cut, the broad preference trends remain the same. The only noteworthy difference is the relatively ‘smaller’ increase in the preferred usage share of Makemytrip under this market segment than it is at the overall travel user level including train travel users. Table 10: Top 10 online travel booking websites by most preferred usage (excluding IRCTC)

Rank Website % Use on Preferred Basis (2007)

Increase over 2006

1 Makemytrip 20% 5% 2 Yatra 19% 19% 3 IRCTC 4 Google 13% 6% 5 Yahoo 10% -2% 6 Rediff 6% -5% 7 Indiatimes 3% -6% 8 Travel 3% 1% 9 Travelguru 3% 2%

10 Cleartrip 2% 2% Travel users preferring Makemytrip and IRCTC show relatively more ‘premium’ profiles and more ‘evolved’ net usage behavior

On the whole, travel users of all the ‘specialized’ travel website show better more ‘premium’ economic profiles and more ‘evolved’ net usage behavior as compared to the generic portals also offering online travel products. In fact, it seems that Google and Yahoo preferring travel users are the relatively new or inexperienced net users, who tend to use generic websites for most of their

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online activities and have still not evolved enough in their net usage behavior to go directly to a ‘specialized’ travel portal. Among the ‘specialized’ travel portals, Makemytrip preferring users show the most premium profiles and the most evolved net usage behavior.

Table 11: Comparative evaluation of the Top 5 travel websites on some selected attributes

Makemytrip Yatra IRCTC Google YahooSample Base 1,079 1,051 1,123 695 524User Profile Attributes User from SEC ‘A’ and ‘B’ 75% 61% 67% 51% 54%Employed user 75% 64% 75% 61% 53%User is chief wage earner of the HH 50% 45% 63% 42% 41%Rs.30,000+ family income 43% 31% 26% 17% 22%Car ownership in the HH 50% 38% 30% 25% 27%Credit card ownership in the HH 57% 46% 46% 31% 31%Computer/laptop owned in the HH 82% 77% 73% 64% 65%Net Usage Behavior Attributes 2 years+ of net usage experience 84% 71% 79% 70% 63%Users accessing the net from home 76% 72% 63% 56% 60%Broadband connection at home 73% 73% 72% 66% 65%Users who buy online 70% 61% 71% 44% 38%Complain about unsolicited ads/pop-ups 61% 51% 52% 40% 36%


18

Some of the comparative highlights of the users of the top 5 travel websites are:

IRCTC shows the lowest proportion of female travel users at 13% only. Yahoo shows the highest at 23%.

IRCTC, followed by Makemytrip show relatively higher proportion of 25

years plus age groups at 74% and 71% respectively. Yatra in comparison shows a much ‘younger’ profile with only 55% of travel users preferring it coming from the 25 years plus age groups.

Makemytrip preferring travel users come significantly more from the larger

towns (10 lakh plus population) at 55%. Makemytrip also shows the highest proportion of users coming from ‘metro’ towns at 47%.

Google and Yatra preferring travel users come relatively more from South

India at 46% and 42% respectively. Makemytrip shows the highest relative proportion of users coming from the North at 25%.

Makemytrip shows the highest proportion of its user comfortable reading in

English at 60%. IRCTC follows with 49%.

Among the ‘specialized’ travel portals, Yatra gets the highest relative proportion of users from SEC ‘C’ and ‘D’ at 34%.

Makemytrip, followed closely by IRCTC, show the highest proportion of

graduate plus users (at 75% and 73% respectively).

Yahoo and Google show the highest relative proportion of users coming from the below Rs.10,000 monthly family income households (at 43% and 41% respectively).

IRCTC ones show the highest ownership of 2-wheelers at 47%.

Makemytrip preferring travel users show the highest relative ownership of

Air Conditioners at 44%, of Demat accounts at 36%, of Mutual Funds at 37%, and of Debit Cards at 74%.

Makemytrip shows the least proportion of net users with less than 1 year of

net usage experience at 8%. Yahoo shows the highest at 20%.

Makemytrip shows the least proportion of its net users accessing the net from cyber cafes at 44%. Google ones do it relatively the most from cyber cafes at 54%.

While Makemytrip users show the highest proportion of users accessing the

net from home during the 9:00 p.m. - midnight ‘prime time’ slot at 58%, Yahoo users shows the highest proportion of users accessing the net from office between 9:00 a.m. - 6:00 p.m. At 64%.

Google using travel users are the relatively ‘heaviest’ users of the net from

home, with 35% of then using the net from home for more than 2 hours a day. On the other hand Makemytrip using travel users are the relatively ‘heaviest’ users of the net from office, with 39% of then using the net from office for more than 2 hours a day.

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Google and Yahoo preferring travel users are the relatively ‘heavier’

watchers of TV, while Yatra and Yahoo ones are the relatively ‘heavier’ listeners of radio.

Makemytrip ones check both personal and business related travel

information the most online at 51% and 38% respectively. They also buy travel products online relatively more at 73% (but less than IRCTC ones – 76%).

Makemytrip ones also check online business and financial news relatively

the most at 45%, share pictures on the net relatively more at 50%, search for product information more (58%), check hobby related info more (43%), net bank more (53%) and buy products other than travel products more (45%).

Among the specialized travel portals, Yatra ones undertake instant

messaging relatively more at 82%, check news online relatively more at 81%, and undertake online dating/friendship and matrimonial activities relatively more at 71% and 70%. Among the specialized travel portals they undertake most personal interest and entertainment activities relatively more (sports, music, cinema, astrology, online games, mobile content, etc.)

IRCTC ones buy travel products online the most at 76%, check the language

websites relatively more at 17%, and pay bills online more at 38% (equal to Makemytrip ones).

IRCTC ones are the least involved in blogging activities at 32%. Makemytrip

ones are involved in blogging relatively the most at 39%.

Makemytrip and Yatra ones are involved in online communities the most, at 51% and 49% respectively.

Yahoo preferring travel users complain relatively the most about difficulty

in getting connected to the net at 40%.

Makemytrip ones appear to be the most demanding online travel users, complaining relatively the most about unsolicited ads and pop-ups (61%), spam/junk mail (65%) and virus/spyware (60%).

Makemytrip and Yatra users have clicked noticeably more on the sponsored

search ads and the banner ads in the past.

While ‘Google’ is the most top of mind website of all among Yatra and Makemytrip preferring travel users (38% and 31% respectively), ‘Yahoo’ is recalled more top of mind by IRCTC ones at 32%. However, when it comes to actual usage, Google is more used by the travel users of all the 3 specialized travel websites – Makemytrip (35%), Yatra (37%) and IRCTC (33%).

Yahoo is the most preferred emailing website among users of all the top 5

travel websites (including Google travel users).


20

Makemytrip preferring travel users show the highest relative average ownership of multiple email accounts at 3.4. Yahoo ones show the lowest average at 2.8.

While Star Plus is the most popular TV channel among the Google,

Makemytrip, Yatra and Yahoo preferring travel users (at 23%, 17%, 9% and 8% respectively), AajTak is more preferred by IRCTC ones (at 10%).

Times of India is the most popularly read newspaper among users of all 5

travel website. At the same time, The Hindu is also fairly popular among the Yatra and Google ones.

While Makemytrip and IRCTC preferring travel users recall ‘Sony’ as the

most top of mind brand of all, the ones preferring Yatra, Google and Yahoo recall ‘Nokia’ the most.

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Detailed Findings


22

Current Year

11%13%

6%2%

31%36%

0%

20%

40%

All Users

Age 13-18 years Age 19-24 yearsAge 25-35 years Age 36-45 yearsAge 46-55 years Above Age 55 years

Change from PY

-5% -4%

1% 2% 1%5%

-10%

-5%

0%

5%

10%

Reading the Graphs & Tables

Chart: Age group distribution Base: 25,060

Base: 25,060(CY), 20,268(PY)

Current year base

Same series color as the current year graph, showing an increase of 5% in the proportion of 13 to 18 years age group

Change from previous year

Previous year base

Current year base

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Table: Booking travel tickets

Website Ebay Rediff Google Yahoo Indiatimes All Travel Users

21% 20% 3% 0.9% 26% 18% Makemytrip 13% 12% -4.1% -6.5% 9% 9%

23% 12% 2% 13% 21% 17% Yatra*

15% 15% 4% 4% 11% 16% IRCTC -29.2% -24.0% -36.0% -32.2% -24.2% -25.0%

5% 6% 77% 3% 2% 10% Google

-0.1% 0.1% 49% -3.4% -2.6% 4%

4% 4% 2% 65% 1% 8% Yahoo -2.8% -9.1% -2.1% 49% -5.0% -1.6%

2% 19% 0.4% 1% 2% 5% Rediff

-3.9% 12% -4.0% -4.4% -4.5% -1.3%

2% 3% 0.1% 3% 18% 3% Indiatimes -2.3% -0.2% -3.7% -1.0% 13% -1.4%

4% 2% 0.6% 2% 4% 3% Travelguru 3% 1% 0.6% 2% 3% 2%

2% 2% 5% 0.1% 1% 2% Travel 0.4% 0.4% 5% -1.8% -0.8% 1%

3% 2% 0.8% 0.3% 2% 2% Cleartrip* 3% 2% 0.8% 0.3% 2% 2%

Base: 5,855(CY), 4,128(PY)

Table: Popular online travel website

Website Current Year Change from PY

Makemytrip 34% -4%

Yatra 25% -4%

IRCTC 8% 5%

Google 7% -0%

Yahoo 7% -4%

Rediff 6%

Indiatimes 2% 0%

Travel 2% 1%

Travelguru 1% 0%

Cleartrip 1% 1%

Base: 5,855(CY), 4,128(PY)

Previous year base

Current year base

Change from

previous year

figures

Current year

figures

Fields marked with * means that the field is added this year hence

not comparable to last year

Change from

previous year

figures

Current year

figures

A blank in this row means that this

attribute was not included in last year’s survey &

therefore no “change over

previous year” can be presented


24

Popularity of Online Travel as an Activity Table 12: Popularity of various internet activities

Website All Users (Proportion) All Users (In Millions)Emailing 95% 23.96Job Search 73% 18.45Instant messaging 62% 15.55Check news 61% 15.43Music 60% 15.08Chatting 59% 14.92Check Sports 57% 14.45E-greetings 57% 14.45Online games 54% 13.69Dating/Friendship 51% 12.94Mobile contents (ring tones / games, etc.) 50% 12.53Search work related info 49% 12.33Matrimonial search 48% 12.03Educational / Learning material 48% 11.98Screensavers/wallpapers 46% 11.53Astrology 46% 11.50Check financial info 45% 11.35Search for product information 45% 11.20Social networking / Communities 44% 11.00Buy travel products 43% 10.90Share pictures 40% 9.99Check real estate info 37% 9.21Check hobby related info 32% 7.93Check business/Financial news 30% 7.63Net banking 30% 7.60Check health & lifestyle info 30% 7.55Movies 29% 7.40Check cinema content 28% 6.97Check / read blogs 27% 6.69Business/professional networking 26% 6.62Check personal travel related info 26% 6.47Buy other than travel products 24% 6.14Look for Seminar/workshops 24% 6.04Online bill payment 22% 5.61Check business travel related info 19% 4.66Adult content 18% 4.63Online stock trading 13% 3.30Net telephony 13% 3.20Comment on blog post 12% 2.99Local language website usage 12% 2.92Have a blog site of own 7% 1.69

Base: 25,060

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Table 13: Websites for booking travel products

Website All travel users

Makemytrip 17%

Yatra 16%

IRCTC 15%

Google 11%

Yahoo 8%

Rediff 5%

Indiatimes 3%

Travel 3%

Travelguru 2%

Cleartrip 2%

Base: 7,089


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Demographic Profile Chart 3: Gender breakup

Base: 7,089

Chart 1: Gender breakup Base: 7,089(CY), 7,433(PY)

Current Year

80%86% 87% 82% 77%

83%

20%14% 13% 18% 23%

17%

0%

20%

40%

60%

80%

100%

Makemytrip Yatra IRCTC Google Yahoo All travel

users

Male Female

Change from PY

14%

-14% -9%

0%11% 9%14%

86%

4%0%

-11% -4%-20%

0%

20%

40%

60%

80%

100%

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Chart 4: Age group distribution

Base: 7,089

Chart 2: Age group distribution

Base: 7,089(CY), 7,433(PY)

Current Year

8%10%3%7%

11%16%

23%

34%39%

32% 30%22%

44%38% 40%

34%38%

45%

0%

20%

40%

60%


users

Age 13-18 years Age 19-24 years Age 25-35 years

Change from PY

11%

34%

1%

-5%

11%

-4%

4%

-4%

1%

-10%-15%-5%-5%

6%1%

38%

3%-1%

-20%

0%

20%

40%

60%


28

Chart 5: City class - by population size

Base: 7,089

Current Year

15% 15% 13% 13% 15% 15%23%

28% 26%

13%9%9%7% 10%10%

32%29% 31%

46%49%47%

55%49%

40%

0%

20%

40%

60%

80%


users

Upto 1 Lakh 1-5 Lakhs 5-10 Lakhs Above 10 Lakhs

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Chart 6: City class - by market size

Base: 7,089

Chart 3: City class - by market size Base: 7,089(CY), 7,433(PY)

Current Year

48%42% 39% 39% 42%

14% 16% 14%

27% 29% 29% 29%

40%

31%35%

14%13%14%18%

13%11%

14%12%

18%

0%

10%

20%

30%

40%

50%

60%


users

Metro Urban uptowns Emerging Towns Others

Change from PY

13%

-11%

42%

-2%-6%-5%

5%

-19% -11%-10%-12%-8%

16%

-2%

1%

-4%

-1%1%14%

24%17%14%

29%

13%

-40%

-20%

0%

20%

40%

60%


30

Table 14: Top 10 cities

Cities Makemytrip Yatra IRCTC Google Yahoo All travel users

20% 14% 12% 12% 11% 13% Delhi 5% 14% -3.5% -8.1% -1.9% -2.1%

13% 10% 11% 12% 7% 11% Mumbai -3.5% 10% -4.6% -2.0% -8.7% -4.5%

10% 7% 6% 7% 5% 7% Bangalore -0.8% 7% -3.5% -4.3% -5.2% -2.4%

5% 6% 6% 6% 7% 6% Hyderabad 0.5% 6% -0.9% -0.7% -0.6% -0.5%

4% 6% 8% 4% 4% 5% Chennai -0.8% 6% 2% -1.6% -3.3% -0.5%

4% 4% 3% 4% 2% 3% Kolkata -3.2% 4% -2.4% -1.0% -3.0% -2.1%

3% 3% 2% 3% 2% 3% Pune -1.1% 3% -1.1% 0.4% -0.9% -0.9%

2% 2% 2% 0.6% 2% 2% Ahmadabad -0.8% 2% -0.4% -0.6% -0.4% -0.5%

0.9% 1% 3% 1% 1% 1% Lucknow -0.2% 1% 2% -0.4% 0.4% 0.1%

0.9% 1% 0.7% 0.9% 2% 1% Coimbatore -0.7% 1% -0.7% 0.9% 0.8% -0.2%

Base: 7,089(CY), 7,433(PY)

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Chart 7: Region-wise break-ups

Base: 7,089

Chart 4: Region-wise break-ups Base: 7,089(CY), 7,433(PY)

Current Year

22%21%21%19%22%25%

12%13%13%10%13%13%

43%41%

46%40%42%

35%27% 24%

29%22% 24% 26%

0%

20%

40%

60%


users

North East South West

Change from PY

-13%-9%-18%

-12%

22%

-10%

3%1% 0%6% 4%13%

3%

42%

5% 7%-1%

6% 5%7%5%

24%

5% 7%

-40%

-20%

0%

20%

40%

60%


32

Table 15: Preferred language of reading

Language Makemytrip Yatra IRCTC Google Yahoo All travel users

60% 44% 49% 45% 33% 47% English 3% 44% -14.1% -19.4% -25.2% -14.3%

15% 16% 19% 14% 18% 16% Hindi -4.1% 16% 6% -3.6% -5.3% -0.3%

4% 6% 6% 8% 6% 6% Telugu 2% 6% 4% 5% 4% 4%

3% 9% 7% 7% 7% 6% Tamil -2.5% 9% 5% 6% 4% 3%

3% 3% 4% 5% 5% 4% Marathi -0.4% 3% 0.5% 3% 3% 1%

3% 3% 3% 5% 7% 4% Malayalam -3.2% 3% -1.4% -0.2% 6% -0.3%

2% 3% 3% 2% 6% 3% Kannada 0.1% 3% -0.2% 0.3% 5% 1%

4% 5% 3% 2% 4% 3% Gujarati 3% 5% 1% 0.5% 2% 2%

2% 3% 3% 3% 3% 3% Bengali -1.1% 3% 1% 0.8% 1% 0.9%

1% 0.9% 1% 4% 6% 2% Oriya 1% 0.9% 0.9% 2% 6% 1%

Base: 7,089(CY), 7,433(PY)

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Socio-Economic Profile Chart 8: Socio economic classification

Base: 7,089

Chart 5: Socio economic classification Base: 7,089(CY), 7,433(PY)

Current Year

18%

32%30%

22%24%

31%

40%35%

27%30% 32%

35% 32%

19% 20%

27%

21%

13% 14% 12%18%

10%12%9%

6%10%8%

4%6%3%

0%

10%

20%

30%

40%

50%


users

SEC A SEC B SEC C SEC D SEC E

Change from PY

3%

-3%

0%-1%

-9%

31%

9%1%

-15%

-2%

30%

-4%

-15%

13%

-11%

21%

-1% -3%

12% 14%

3% 4%10% 6%

-3%

1% 3% 1%6%

0%

-20%

0%

20%

40%


34

Chart 9: Highest educational qualification

Base: 7,089

Chart 6: Highest educational qualification Base: 7,089(CY), 7,433(PY)

Current Year

21%23%27%

20%19%16%

40%34%

41%36%

39%37%35% 33% 30%28%22%

32%

0%

20%

40%

60%


users

College but not Graduate

Graduate & above - general stream

Graduate & above - professional stream

Change from PY

4%

13%

34%

9%5%4% 3% 1%

0%-1%

-7%

19%

13% 7%

-2%

0%

-5%

33%

-10%

0%

10%

20%

30%

40%

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Chart 10: Occupational break up

Current Year

25%

36%

25%

39%47%

33%

75%

64%

75%

61%53%

67%

0%

20%

40%

60%

80%


users

Unemployed Employed

Base: 7,089

Chart 7: Occupational break up

Change from PY

-14%-14%

36%

-6%

13%

-9%

9%

64%

14% 14%

-13%

6%

-20%

0%

20%

40%

60%

80%

Base: 7,089(CY), 7,433(PY)


36

Change from PY

3%9%

2%

-5%

1%

-6%

46%

-1% 3%

-2% -3%-2%-1%

22%

-3%-11%-6%

9%

24%

1%4%

13%5%

-1%

-20%

0%

20%

40%

60%

Chart 11: Function / field of occupation

Base: 4,711

Chart 8: Function / field of occupation

Base: 4,711(CY), 6,609(PY)

Current Year

15%20%22% 22% 22%

11%16%

23%

15%19%

24%25%

9%13%

9%8%9%10%

50%46%

55%52%53%53%

0%

20%

40%

60%


users

IT/SW MARCOM Finance Others

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Change from PY

-22%

55%

-22%-12%

-25%

25%12%

22%38%

45%

22%

-38%-40%

-20%

0%

20%

40%

60%

Chart 12: Head of the household

Base: 7,089

Chart 9: Head of the household Base: 7,089(CY), 7,433(PY)

Current Year

50% 45% 42%50%55%

37%

59%63%

41%

50%58%

50%

0%

20%

40%

60%

80%


users

Head of the household Not head of the household


38

Economic Profile Chart 13: Monthly family income

Base: 6,158

Chart 10: Monthly family income Base: 6,158(CY), 7,433(PY)

Current Year

37%44%

23%

15%10%

15%

43%

31%

41%

27%26%

20%

41%35%

43%47%

8% 13%7%

13%16%20%

13% 14%

0%

20%

40%

60%


users

Upto Rs. 10K 10-30K 30-50K Above 50K

Change from PY

7%15%

7% 2%

-23%

26%

4%

-17%-20%-31%

5%

-3%

12%

44%

1%6%

4%

-3%

16%15%5%

7%9%15%

-40%

-20%

0%

20%

40%

60%

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Chart 14: Most expensive vehicle owned by the household

Base: 7,089

Chart 11: Most expensive vehicle owned by the household Base: 7,089(CY), 7,433(PY)

Current Year

47%

38%

50%

34%

19%

27%20% 18%

43%41%42%

34%25%

27%30%

38%

14%13%

0%

20%

40%

60%


users

2 Wheeler 4 Wheeler Don't own a vehicle

Change from PY

-14%

5% 8% -1%

31%

2%8%

-17%

14%

-8%

6%

-17%-9%

42%

2%

38%

4%

-8%-20%

0%

20%

40%

60%


40

Chart 15: Ownership of credit cards (individually)

Base: 7,089

Chart 12: Ownership of credit cards (individually) Base: 7,089(CY), 7,433(PY)

Current Year

59% 54%

74% 72%

59%53%

41%46%

26% 28%

47%41%

0%

20%

40%

60%

80%


users

Don't own a credit card Own a Credit Card

Change from PY

14%

31%

-14%-6%-17%

59%

-31%

41%

14%

-14%

17%6%

-40%

0%

40%

80%

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Table 16: Household asset ownership

Assets Makemytrip Yatra IRCTC Google Yahoo All travel users97% 96% 93% 91% 93% 94%Color TV

6% 96% 3% 7% 2% 4%95% 92% 93% 91% 88% 92%Mobile Phone

8% 92% 4% 6% 11% 5%91% 85% 89% 78% 81% 85%Bank Account*

90% 82% 81% 70% 74% 79%Fridge 16% 82% 8% -6.4% 6% 5%86% 80% 75% 68% 71% 76%Cable TV connection/DTH 10% 80% -6.2% -13.4% -7.4% -4.2%82% 77% 73% 64% 65% 72%Computer/Laptop 36% 77% 19% 13% 19% 20%81% 71% 70% 62% 67% 70%Camera*

74% 67% 72% 56% 61% 66%Life Insurance

8% 67% 12% -4.1% 0.2% 5%77% 69% 63% 57% 62% 66%Landline Phone 17% 69% -1.4% -9.8% -7.7% -0.5%74% 66% 65% 51% 50% 62%Debit Card 34% 66% 19% -2.7% 5% 16%71% 64% 62% 55% 59% 60%Washing Machine 19% 64% 4% -10.5% 18% 3%73% 64% 59% 50% 55% 60%Music System/DVD/MP3*

68% 64% 59% 55% 57% 60%Home

-5.2% 64% -9.9% -21.5% -8.8% -9.8%57% 46% 46% 31% 31% 44%Credit Card 26% 46% 15% -9.1% 7% 14%51% 44% 39% 30% 27% 39%Medical Insurance/CGHS 22% 44% 8% -3.3% -1.7% 7%52% 41% 39% 30% 32% 39%Fixed Deposits*

44% 34% 24% 24% 24% 30%Air Conditioner 24% 34% 4% -5.3% 9% 9%42% 33% 24% 21% 23% 29%Microwave 19% 33% 3% -7.2% 8% 8%37% 29% 28% 16% 20% 27%Mutual Funds 12% 29% 5% -13.5% -3.1% 3%36% 31% 27% 16% 21% 26%Demat Account*

34% 26% 18% 19% 22% 24%Video Camera*

31% 28% 25% 13% 20% 24%Share of Companies*

19% 16% 12% 8% 10% 14%IPod*

6% 7% 8% 7% 11% 7%Chit Fund Deposits

-16.8% 7% -18.7% -25.7% -16.2% -20.6%

Base: 7,089(CY), 7,433(PY)


42

Chart 16: Current loan liabilities

Base: 7,089

Current Year

41% 43% 41%45% 42% 43%

23%

15%11% 10% 9%

14%

25% 24%29%

17% 19%23%

0%

20%

40%

60%


users

Home Loan Car Loan Personal Loan

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Net Usage Status Chart 17: Years of experience in using internet

Base: 7,089

Chart 13: Years of experience in using internet Base: 7,089(CY), 7,433(PY)

Current Year

9% 13%8%

15% 12%20%

14%13%17%

17%9%14%

70%79%

71%

84%73%

63%

0%

20%

40%

60%

80%

100%


users

Up to 1 year 1-2 years More than 2 years

Change from PY

-8% -7%-7%

18% 15%

-1% 0%

15%

-13% -5% -2%-4%-5%

14%

71%

4%6% 9%

-20%

0%

20%

40%

60%

80%


44

Chart 18: Place of accessing internet

Base: 7,089

Chart 14: Place of accessing internet Base: 7,089(CY), 7,433(PY)

Current Year

72%63%

56%

83%

44%51% 49%

54% 50% 48%64%

60%

76%80% 82%83%84%80%

0%

20%

40%

60%

80%

100%


users

Home Place of work (office / school / college) Cyber cafe

Change from PY

23%19%13%

2%21%

72%

29%

15%6%

16%

80%

12%3% 5%4%

12%

51%

2%0%

20%

40%

60%

80%

100%

India Online 2007

45

Change from PY

-13%

17%

-6%

1% 0%

-11%

12% 4%

-11% -12%

22%

73%

4% 11% 16%1%

11%

-2%-20%

0%

20%

40%

60%

80%

Chart 19: Type of internet connection at home

Base: 4,597

Chart 15: Type of internet connection at home Base: 4,597(CY), 4,973(PY)

Current Year

15% 12% 15%9% 11% 7%

12% 11% 10%15%18%17%

72%73%73%71%

65%66%

0%

20%

40%

60%

80%


users

Regular Dial Up Broadband Others


46

Chart 20: Type of internet connection at office

Base: 5,844

Chart 16: Type of internet connection at office Base: 5,844(CY), 5,401(PY)

Current Year

4% 5% 8% 7% 8% 6%

64%56%

66%65%64%66%

20% 17% 13% 12% 15%10%

0%

20%

40%

60%

80%


users

Regular Dial Up Broadband Others

Change from PY

-10%

7% 4%

-12%

9%17%

4%

-6%-4%-5%

5%

-8%

64%

1% 0%

-4%

8% 5%

-20%

0%

20%

40%

60%

80%

India Online 2007

47

Chart 21: Service provider subscribed to at home

Base: 4,597

Chart 17: Service provider subscribed to at home Base: 4,597(CY), 5,083(PY)

Current Year

10%10% 9% 10%12% 11%

32% 32%

37%

32%

38%35%

19%16%

19%16% 16% 18%

0%

10%

20%

30%

40%


users

VSNL / Tata BSNL/Sancharnet Airtel/Bharti

Change from PY

0%12%

0% -1%

-4% -1%

3%

-13%

-4%

4%

32%

-9%

7%10%

-3%

10%16%

2%

-20%

-10%

0%

10%

20%

30%

40%


48

Chart 22: Service provider subscribed to at office

Base: 5,844

Chart 18: Service provider subscribed to at office Base: 5,844(CY), 5,397(PY)

Current Year

12% 12%17%

12%15%

10%14%

27%24%24% 25%

29% 27%

12%14%17%18%19%

0%

20%

40%


users

VSNL / Tata BSNL/Sancharnet Airtel/Bharti

Change from PY

12%

-12%-6%

1%

-2%-8%

5%

25%

-2%

3%1%

-5%

6% 5%4%

18%

-3%

3%

-20%

-10%

0%

10%

20%

30%

India Online 2007

49

Net Usage Dynamics Chart 23: Frequency of accessing internet from home

Base: 4,462

Chart 19: Frequency of accessing internet from home Base: 4,462(CY), 5,078(PY)

Current Year

87%83%87%86%87%89%

12%16%12%12%12%11%1% 1% 2% 1% 1% 1%

0%

20%

40%

60%

80%

100%


users

At least once daily Weekly, but not dailyLess than once a week

Change from PY

-18%

18%10%4%

10%

87%

8%

-9%-3%-10%

12%

-6%

-2% 1% -1% 0% -1% -1%

-50%

0%

50%

100%


50

Chart 24: Frequency of accessing internet from office

Base: 5,368

Chart 20: Frequency of accessing internet from office Base: 5,368(CY), 5,242(PY)

Change from PY

1%

-3%

0%

-5%

-1% 0%7%

91%

0%3%

-3%

8%-1% 1% 0% 0% 3% 0%

-50%

0%

50%

100%

Current Year

5% 8% 7% 12% 10% 9%

90%85%86%91%91%94%

2%5%2%2%1%1%0%

20%

40%

60%

80%

100%


users

At least once daily Weekly, but not dailyLess than once a week

India Online 2007

51

Chart 25: Time of the day accessing internet from home

Base: 4,375

Chart 21: Time of the day accessing internet from home Base: 4,375(CY), 4,982(PY)

Change from PY

11%

-9%

1%

-15%-7%

16%

-11%

2%

-11%

0%

55%

5% 9% 6%4%5%

20%11%

-20%

0%

20%

40%

60%

Current Year

18%20%25%

19% 21%16%

22%17%16%

12%

55%52%49%55%55%58%

20%21%

0%

20%

40%

60%


users

9.00 AM-6.00 PM 6.00 PM - 12.00 M idnight Throughout the Day


52

Chart 26: Time of the day accessing internet from office

Base: 5,377

Chart 22: Time of the day accessing internet from office Base: 5,377(CY), 5,269(PY)

Current Year

64%

42%33% 36% 33%

24%

34%45%

55% 54% 52%48%

11%9%16%

8%10%10%

0%

20%

40%

60%

80%


users

9.00 AM-6.00 PM 6.00 PM - 12.00 M idnight Throughout the Day

Change from PY

-11%

55%

-3%

2%-2%

-13%

-3%

-4%

-1%

9%10%

-5%

33%

18%

5%1%3%8%

-20%

0%

20%

40%

60%

India Online 2007

53

Chart 27: Duration of PC usage from home

Base: 4,757

Chart 23: Duration of PC usage from home Base: 4,757(CY), 5,554(PY)

Current Year

68% 64%68%

56%62% 64%

27% 24%

11%22%

20%24%

21%14%13%

17%11%12%

0%

20%

40%

60%

80%


users

Light users Medium users Heavy users

Change from PY

3%

64%

-1%

-5%

-1%0%

-5% -2%

-1%2%

24%

-3% -1%2% 3%6%12%3%

-20%

0%

20%

40%

60%

80%


54

Chart 28: Duration of internet usage from home

Base: 4,422

Chart 24: Duration of internet usage from home Base: 4,422(CY), 4,955(PY)

Current Year

44%37%

44%

32% 33%39%

34%

42%

25%

35%35%34%31%

26%25%

35%

21%29%

0%

20%

40%

60%


users


Change from PY

3%

19%

37%

-4%-5%-7%-7%

-6%-5%-6%

-11%

34%

-3%

3%9%11%

29%

10%

-20%

0%

20%

40%

India Online 2007

55

Chart 29: Duration of PC usage from office

Base: 5,515

Chart 25: Duration of PC usage from office Base: 5,515(CY), 5,476(PY)

Current Year

20%26%

37%

26%

58%49% 52% 53%

45%51%

22%28%

23%19%19%26%25%22%

0%

20%

40%

60%

80%


users


Change from PY

0%

-1%

26%

-1%

11%1%

-4%-9%

-5%25%

-1%

1%5%

-3%

49%

12%

-1%-6%-20%

0%

20%

40%

60%


56

Current Year

40%35%

39%42% 44%

41%

27%

35% 35%

22%26%

29%27%30%

39%34%

28%31%

0%

20%

40%

60%


users


Chart 30: Duration of internet usage from office

Base: 5,269

Chart 26: Duration of internet usage from office Base: 5,269(CY), 5,142(PY)

Change from PY

-3%-4% -6%

-2%

35%

1%8%

-3%

-5%

-4%

5%

30%

-8%

12%

5%

-3%

35%

7%

-20%

0%

20%

40%

India Online 2007

57

Chart 31: Time spent by internet users on watching TV

Base: 6,384

Chart 27: Time spent by internet users on watching TV Base: 6,384(CY), 6,851(PY)

Current Year

43%44%46%42%44%43% 43%

37%40%

45%43%45%

13% 13% 13% 14%20%

14%

0%

20%

40%

60%


users


Change from PY

7% 4%1% 6%

44%

-1%

2%

-9%

2% -1%

-5%

43%

-4%

2%

-2%-3%

13%

-1%

-20%

0%

20%

40%

60%


58

Chart 32: Time spent by internet users on reading newspaper

Base: 6,518

Chart 28: Time spent by internet users on reading newspaper Base: 6,518(CY), 7,014(PY)

Current Year

44% 47%42% 41% 39%

11% 12% 12% 13% 12% 13%

45%49%46% 43%46%41%

46%

0%

20%

40%

60%


users


Change from PY

-39%-31%

-43%-43%

47%

-43%

28%21%

33%32%

41%33%

10% 12% 11% 10% 10% 11%

-50%

-30%

-10%

10%

30%

50%

India Online 2007

59

Chart 33: Time spent by internet users on listening to radio

Base: 4,439

Chart 29: Time spent by internet users on listening to radio Base: 4,439(CY), 4,646(PY)

Current Year

18% 17% 19% 16%22% 19%

73%67%

76%74%72%76%

9%11%8%6%11%7%

0%

20%

40%

60%

80%


users


Change from PY

11% 15% 7%1%

-6%

7%

72%

5%17%

-1%

-14%-2%-9%

3%

-5%-7%

11%

-6%-20%

0%

20%

40%

60%

80%


60

Preferred Net Activities Table 17: Popularity of various internet activities

Website Makemytrip Yatra* IRCTC Google Yahoo All travel users

98% 97% 98% 93% 91% 96% Emailing 2% 97% 2% -2.7% -7.2% 0.4%

82% 87% 80% 93% 92% 87% Job Search 31% 87% 30% 41% 36% 36%

77% 82% 74% 92% 92% 84% Check news 20% 82% 21% 40% 35% 31%

77% 82% 71% 93% 93% 82% Instant messaging 41% 82% 31% 45% 50% 42%

70% 77% 68% 91% 92% 80% Check Sports 32% 77% 32% 58% 61% 46%

71% 78% 67% 91% 97% 79% Music 20% 78% 18% 46% 53% 30%

66% 75% 62% 90% 91% 77% Online games 26% 75% 25% 57% 54% 41%

63% 74% 61% 89% 95% 76% Mobile contents (ring tones / games, etc.)*

67% 73% 58% 89% 87% 75% Check financial info 51% 73% 42% 79% 73% 59%

60% 70% 60% 87% 87% 73% Matrimonial search 44% 70% 44% 67% 67% 57%

61% 71% 58% 87% 90% 73% Dating/Friendship 38% 71% 30% 58% 69% 45%

59% 65% 51% 87% 92% 70% Astrology 24% 65% 17% 47% 54% 36%

56% 63% 56% 91% 89% 70% Educational / Learning material 7% 63% -0.5% 42% 35% 17%

60% 65% 51% 86% 86% 69% Social networking / Communities*

57% 62% 46% 83% 85% 65% Check real estate info 47% 62% 37% 73% 70% 55%

70% 65% 67% 60% 61% 65% E-greetings 19% 65% 7% -4.8% -2.8% 6%

65% 69% 58% 65% 69% 63% Chatting 17% 69% 7% 11% 19% 12%

73% 63% 76% 47% 40% 61% Buy travel products 44% 63% 46% 20% 6% 32%

63% 57% 55% 53% 49% 55% Search work related info 12% 57% 8% -7.0% -3.5% 4%

58% 51% 53% 47% 40% 51% Search for product information 23% 51% 14% 14% 9% 14%

50% 49% 46% 49% 54% 49% Screensavers/wallpapers 4% 49% -1.6% 7% 0.0% 2%

India Online 2007

61

50% 47% 41% 44% 46% 45% Share pictures 20% 47% 7% 3% 15% 10%

52% 42% 46% 31% 26% 40% Net banking 31% 42% 21% 8% 8% 16%

45% 40% 38% 28% 29% 38% Check business/Financial news*

51% 38% 41% 26% 22% 37% Check personal travel related info 33% 38% 22% 4% 5% 19%

39% 35% 33% 30% 34% 36% Check health & lifestyle info 7% 35% -2.7% -5.8% -7.7% 1%

43% 37% 31% 34% 34% 36% Check hobby related info 30% 37% 19% 24% 24% 24%

34% 40% 30% 33% 36% 34% Movies*

37% 36% 34% 31% 28% 33% Business/professional networking 25% 36% 20% 11% 20% 20%

45% 38% 37% 19% 17% 33% Buy other than travel products*

34% 37% 26% 29% 33% 33% Check cinema content 7% 37% 0.7% 9% 2% 8%

35% 31% 28% 32% 32% 32% Check / read blogs*

39% 37% 38% 21% 18% 32% Online bill payment 26% 37% 22% -0.1% 9% 17%

30% 27% 26% 29% 32% 28% Look for Seminar/workshops 8% 27% 7% 4% 18% 9%

38% 29% 24% 21% 19% 27% Check business travel related info*

20% 21% 19% 20% 24% 21% Adult content 13% 21% 7% 6% 15% 11%

24% 25% 20% 14% 15% 20% Online stock trading 12% 25% 6% 4% -2.1% 6%

20% 17% 16% 16% 13% 18% Net telephony 7% 17% 5% 4% -2.7% 7%

17% 17% 12% 15% 16% 16% Comment on blog post*

10% 13% 17% 16% 14% 14% Local language website usage -43.0% 13% -31.3% -40.5% -39.7% -35.8%

11% 9% 6% 9% 6% 8% Have a blog site of own*

Base: 7,089(CY), 7,433(PY)


62

Chart 34: Professional activities

Base: 7,089

Chart 30: Professional activities Base: 7,089(CY), 7,432(PY)

Current Year

93%88%

83%85%89%

87%92% 92%

80% 87%

87%82% 82%

93%93%

71%82%

77%

0%

20%

40%

60%

80%

100%


users

Emailing - work related Job Search Instant messaging

`

Change from PY

41%

1%

-11%

0%3%

87%

6%

36%31%

87%

30% 41% 36%

50%

31% 45%

82%

42%

-20%0%

20%40%60%80%

100%

India Online 2007

63

Chart 35: Personal activities

Base: 7,089

Chart 31: Personal activities Base: 7,089(CY), 7,433(PY)

Current Year

70%77%

92%91%

86%89%95%92%94% 87%

58%61%71%

90%

73%80%

91%

68%

0%

20%

40%

60%

80%

100%


users

Emailing - personal Dating/Friendship Check Sports

Change from PY

38%58%

45%

4%

92%

4%

-4% -9%

1%

71%

30%

69%

32%

77%58%

32%

61%46%

-50%

0%

50%

100%


64

Chart 36: Downloading activities

Base: 7,089

Chart 32: Downloading activities

Base: 7,089(CY), 7,430(PY)

Current Year

90%79%

97%91%

67%78%71%

91%77%

62%75%

66% 74%61%

89%95%

76%63%

0%

20%

40%

60%

80%

100%


users

Music Online games Mobile contents (ring tones/games)

Change from PY

41%31%

30%46%

18%20%

53%

78%

25%

57% 54%

75%

26%

54%

69%

48%

74%

39%

0%

20%

40%

60%

80%

India Online 2007

65

Chart 37: E-commerce related activities

Base: 7,056

Chart 33: E-commerce related activities

Base: 7,056(CY), 7,429(PY)

Current Year

66% 67%61%60%

65%70%84%

46%

62%

85%

66%57%

89%

59%

75%

87%

74%67%

0%

20%

40%

60%

80%

100%


users

E-greetings Check real estate info Check financial info

Change from PY

8%

-3%

66%

6%

-5%

19%

56%70%73%

37%

62%47%

60%73%79%

43%

74%52%

-20%0%

20%40%60%80%

100%


66

Change from PY

-11% -16%

61%

16%

42%28%

11%

38%

-29%-42%

39%

-38%-60%-40%-20%

0%20%40%60%80%

Current Year

61%

44%

58%

29%

71%

38%

70%

56%

39%

62%

42%

31%

0%

20%

40%

60%

80%


users

Buyers Non-Buyers

Chart 38: Online shopping

Base: 7,433

Chart 34: Online shopping

Base: 7,433(CY), 7,433(PY)

India Online 2007

67

Chart 39: Blogging activities

Base: 7,089

Current Year

20% 20%15%

21%

38%38%37%32%

35%40%

19%19%

8%6%9%

6%9%11%

64%63%65%68%64%61%

0%

20%

40%

60%

80%


users

Check / read blogs Comment on blog postHave a blog site of own None of the above


68

Chart 40: Member of an online community

Base: 7,089

Current Year

56%51%

55%59%57%

49%51% 49%43% 44% 45%41%

0%

20%

40%

60%


users

Not a member of any online communityMember of an online community

India Online 2007

69

Table 18: Membership by type of online community

Type of Community Makemytrip Yatra IRCTC Google Yahoo All travel users

Not a member of any online community

49% 51% 57% 56% 59% 55%

Alumni & Schools 12% 9% 8% 6% 4% 8%

Computers & Internet 4% 8% 6% 8% 6% 6%

Romance & Relationships 5% 5% 4% 4% 4% 5%

Business / Professional community

6% 4% 3% 3% 2% 4%

Music 2% 4% 4% 3% 5% 3%

Games 3% 4% 2% 2% 2% 3%

Schools & Education 2% 2% 3% 3% 4% 2%Individuals 3% 2% 2% 2% 2% 2%

Arts & Entertainment 1% 3% 1% 2% 0.9% 2%

Base: 7,089


70

Table 19: Most used local language websites (other than English)

Website Makemytrip Yatra IRCTC Google Yahoo All travel users

Hindi 21% 24% 23% 15% 20% 20%

Tamil 13% 25% 21% 12% 5% 17%

Malayalam 10% 7% 10% 25% 15% 15%

Telugu 14% 17% 15% 22% 7% 14%

Marathi 10% 12% 10% 12% 5% 10%

Kannada 3% 3% 10% 4% 18% 7%

Bengali 12% 6% 5% 2% 12% 6%

Gujarati 6% 4% 2% 0.9% 10% 4%

Konkani 10% 0.0% 0.0% 0.0% 0.0% 1%

Oriya 2% 0.0% 2% 0.0% 0.9% 0.8%

Base: 844

India Online 2007

71

Table 20: Online activities desired in other languages

Activity Makemytrip Yatra IRCTC Google Yahoo All travel users

Email 57% 62% 63% 63% 68% 64%

Chatting 44% 51% 45% 55% 51% 49%

Entertainment 44% 48% 46% 50% 51% 48%

Online news 31% 34% 38% 37% 37% 36%

Search 35% 35% 33% 37% 39% 36%

Online learning / education 29% 34% 33% 39% 37% 34%

Astrology 26% 24% 27% 28% 25% 26%

Online shopping 25% 23% 25% 23% 21% 23%

Travel related 25% 24% 24% 20% 18% 23%

Matrimony 16% 16% 15% 18% 22% 17%

Blog 16% 16% 11% 13% 11% 14%

Not Interested 25% 20% 19% 16% 15% 19%

Base: 7,089


72

Chart 41: Problems faced while surfing the internet

Base: 7,089

Current Year

62%

39%

59% 64%62%62%63%55%

49%56%

61%65%

55%48%55%55%58%

60%

0%

20%

40%

60%

80%


users

Slow website opening Spam / junk mails Virus / spyware

India Online 2007

73

Table 21: Preferred websites - emailing


45% 55% 52% 54% 75% 52% Yahoo 14% 55% 13% 13% 36% 13%

24% 24% 20% 27% 8% 22% Gmail 11% 24% 6% 19% 0.5% 9%

19% 14% 20% 14% 8% 17% Rediff 3% 14% 2% 2% -0.1% 0.3%

10% 5% 4% 4% 4% 6% Hotmail -10.8% 5% -5.9% -20.6% -11.1% -7.9%

0.9% 0.6% 0.8% 0.2% 0.5% 1% Indiatimes -13.6% 0.6% -11.7% -11.4% -19.4% -11.0%

0.8% 0.9% 1% 0.3% 1% 1% Sify -2.8% 0.9% -2.5% -1.7% -9.7% -2.9%

0.6% 0.4% 0.9% 0.1% 3% 0.7% Sancharnet/BSNL*

0.9% 0.2% 0.2% 0.6% 0.6% 0.4% VSNL -0.2% 0.2% -1.0% 0.3% 0.0% -0.6%

0.1% 0.5% 0.1% 0.1% 0.0% 0.2% Lycos*

0.0% 0.0% 0.0% 0.0% 0.0% 0.1% AOL*

Base: 7,089(CY), 7,433(PY)


74

Chart 42: Multiple user shares of email websites

Base: 7,089

Chart 35: Multiple user shares of email websites Base: 7,089(CY), 7,433(PY)

Current Year

66% 64%

37%

63%66%70%65%

59%66% 61%

47%61%

90%95%92%90%91%90%

0%

20%

40%

60%

80%

100%


users

Gmail Rediff Yahoo

Change from PY

65%

27%14%

30%24%

66%

40%

10%17%

10%4%

16%4%

3%1%2%

91%

6%0%

20%

40%

60%

80%

100%

India Online 2007

75

Chart 43: Number of email accounts and average per capita email ids

Base: 7,089

Chart 36: Number of email accounts and average per capita email ids Base: 7,089(CY), 7,433(PY)

Current Year

20% 20% 23%28%

23%25%

20%

28%24%

33%32%26%27%

18% 19%18%18%20%

0%

20%

40%


users

2 email ids 3 email ids 4 email ids

Change from PY

-2%

2% 0%5%

25%

-4%

5%

-18%

26%

3%

10%

-12%

5%10% 6%

4%4%

18%

-20%

-10%

0%

10%

20%

30%


76

Most Used Websites Table 22: Top of mind unaided recall - all websites


32% 38% 28% 53% 13% 31% Google 12% 38% -0.3% 28% -7.6% 7%

24% 30% 32% 21% 58% 29% Yahoo -7.9% 30% -0.3% -8.2% 4% -6.4%

12% 8% 12% 6% 6% 11% Rediff 2% 8% 2% -0.5% 3% 1%

3% 2% 1% 3% 4% 4% Orkut 3% 2% 0.9% 2% 3% 4%

3% 3% 4% 2% 1% 3% Gmail*

3% 0.9% 1% 0.3% 1% 2% Hotmail -0.9% 0.9% -3.3% -12.7% -3.5% -4.0%

1% 2% 0.9% 0.3% 0.7% 1% Indiatimes -9.0% 2% -5.7% -9.0% -2.1% -5.3%

0.2% 0.7% 0.2% 0.0% 0.3% 0.7% Contest2win*

4% 0.0% 0.0% 0.0% 0.0% 0.7% Funmaza*

0.9% 0.3% 0.0% 0.1% 0.0% 0.6% Moneycontrol 0.5% 0.3% -1.7% -0.1% -0.1% -0.3%

Base: 6,946(CY), 7,409(PY)

India Online 2007

77

Table 23: Most used website - all websites


Google 35% 37% 33% 55% 10% 32%

Yahoo 19% 25% 26% 19% 69% 26%

Rediff 12% 8% 13% 6% 5% 11%

Orkut 4% 6% 4% 4% 5% 6%

Gmail 4% 4% 4% 4% 1% 4%

Hotmail 3% 0.8% 0.8% 0.8% 1% 2%

Indiatimes 0.6% 0.6% 0.5% 0.3% 0.3% 1%

Moneycontrol 0.9% 1% 0.3% 0.1% 0.0% 0.6%

Sify 0.0% 0.5% 0.2% 0.9% 0.0% 0.6%

Icicibank 1% 0.5% 0.1% 0.0% 1% 0.5%

Base: 7,045


78

Table 24: Info search (English)


Google 86% 77% 81% 90% 36% 72%

Yahoo 5% 11% 5% 4% 58% 11%

English 2% 3% 3% 0.0% 1% 3%

Rediff 0.3% 1% 1% 1% 2% 3%

MSN 0.1% 2% 0.9% 0.2% 0.9% 1%

Wikipedia 1% 0.7% 1% 0.5% 0.2% 0.8%

Dictionary 0.5% 1% 1% 0.0% 0.0% 0.7%

Sify 0.2% 0.1% 0.8% 0.0% 0.0% 0.6%

Indiatimes 0.1% 0.3% 0.0% 0.3% 0.0% 0.6%

BBC 0.0% 0.0% 0.0% 3% 0.0% 0.6%

Base: 5,509

India Online 2007

79

Table 25: Info search (local language)


Google 74% 65% 69% 93% 80% 73%

Manoramaonline 0.0% 3% 0.4% 2% 5% 2%

Guruji 2% 6% 1% 0.0% 0.0% 2%

Kerala 4% 0.3% 0.1% 3% 0.0% 2%

Webduniya 2% 0.3% 3% 0.1% 0.1% 1%

Khoj 0.6% 3% 2% 0.5% 0.2% 1%

MSN 0.0% 0.0% 0.4% 0.0% 0.8% 1%

Eenadu 3% 0.2% 2% 0.0% 0.0% 1%

Webulagam 0.7% 0.9% 0.9% 0.0% 0.2% 0.8%

Chennaionline 0.2% 3% 1% 0.0% 0.0% 0.6%

Base: 3,038


80

Table 26: Job search


46% 40% 47% 24% 22% 38% Naukri -5.0% 40% -5.7% -20.9% -6.7% -11.2%

30% 29% 23% 16% 25% 26% Monster -0.7% 29% 2% -2.5% 11% 5%

12% 18% 14% 12% 8% 13% Timesjobs 6% 18% 8% 11% 0.3% 7%

0.8% 5% 2% 31% 5% 6% Google 0.0% 5% -2.0% 18% 4% 3%

0.4% 0.8% 2% 3% 27% 4% Yahoo 0.2% 0.8% 1% 1% 2% 0.8%

0.5% 0.1% 2% 0.7% 2% 2% Rediff 0.1% 0.1% 0.3% -1.0% 0.1% -2.4%

1% 1% 0.4% 1% 2% 2% Indiatimes 0.9% 1% -0.5% -1.7% -0.8% -0.7%

2% 0.2% 1% 2% 0.1% 1% Jobsahead -4.3% 0.2% -4.2% -2.1% -13.8% -4.0%

0.4% 0.3% 0.9% 1% 2% 1% Freshersworld 0.2% 0.3% -0.3% -4.1% 0.9% 0.3%

1% 0.8% 0.7% 0.8% 0.3% 1% Jobs 1% 0.8% -0.2% 0.5% 0.1% 0.6%

Base: 6,130(CY), 6,285(PY)

India Online 2007

81

Table 27: Booking travel tickets


100% 0.0% 0.0% 0.0% 0.0% 17% Makemytrip 0.0% 0.0% 0.0% 0.0% 0.0% 7%

0.0% 100% 0.0% 0.0% 0.0% 16% Yatra*

0.0% 0.0% 100% 0.0% 0.0% 15% IRCTC 0.0% 0.0% 0.0% 0.0% 0.0% -25.9%

0.0% 0.0% 0.0% 100% 0.0% 11% Google 0.0% 0.0% 0.0% 0.0% 0.0% 6%

0.0% 0.0% 0.0% 0.0% 100% 8% Yahoo 0.0% 0.0% 0.0% 0.0% 0.0% 0.2%

0.0% 0.0% 0.0% 0.0% 0.0% 5% Rediff 0.0% 0.0% 0.0% 0.0% 0.0% -2.8%

0.0% 0.0% 0.0% 0.0% 0.0% 3% Indiatimes 0.0% 0.0% 0.0% 0.0% 0.0% -3.3%

0.0% 0.0% 0.0% 0.0% 0.0% 3% Travel 0.0% 0.0% 0.0% 0.0% 0.0% 1%

0.0% 0.0% 0.0% 0.0% 0.0% 2% Travelguru*

0.0% 0.0% 0.0% 0.0% 0.0% 2% Cleartrip*

Base: 7,089(CY), 7,433(PY)


82

Table 28: Online shopping (other than travel tickets)


39% 44% 36% 12% 15% 31% Ebay 0.6% 44% -9.8% -23.8% -19.2% -12.1%

29% 17% 28% 13% 11% 24% Rediff 6% 17% 2% -17.8% -29.5% -3.4%

2% 1% 3% 63% 2% 10% Google -0.9% 1% -0.3% 47% 0.8% 6%

0.5% 7% 3% 2% 63% 9% Yahoo -5.1% 7% -2.8% -5.0% 50% 2%

11% 9% 6% 1% 0.9% 7% Indiatimes -7.0% 9% -1.8% -6.1% -5.5% -2.1%

6% 9% 9% 4% 2% 6% Futurebazaar*

6% 1% 0.9% 0.6% 0.2% 2% Shopping 5% 1% 0.2% 0.4% -0.2% 1%

2% 0.2% 0.9% 2% 1% 2% Sify 1% 0.2% -0.8% 1% 0.6% 0.2%

2% 2% 1% 0.3% 0.1% 1% Indiaplaza 0.2% 2% 0.4% -0.2% -0.3% 0.4%

0.1% 0.8% 1% 0.2% 0.3% 1% Onlineshopping -0.9% 0.8% 1% -0.4% 0.0% 0.5%

Base: 5,664(CY), 4,054(PY)

India Online 2007

83

Table 29: Online news


10% 8% 7% 13% 65% 14% Yahoo 2% 8% 1% -1.6% 43% 4%

16% 16% 14% 4% 3% 12% NDTV 4% 16% 0.7% -6.4% -11.1% -0.1%

5% 5% 6% 55% 2% 10% Google -1.9% 5% 1% 30% 0.0% 5%

9% 11% 9% 5% 6% 10% Rediff 0.4% 11% -1.2% -4.7% -3.1% -0.3%

11% 6% 7% 3% 4% 7% Indiatimes -8.9% 6% -17.6% -6.3% -0.7% -9.9%

9% 5% 9% 2% 2% 5% Aajtak 6% 5% 6% -2.1% 2% 1%

5% 3% 5% 3% 2% 4% BBC 2% 3% 0.9% 0.7% 0.1% 1%

6% 5% 2% 2% 0.5% 4% Timesofindia -2.6% 5% -2.2% -1.7% -2.7% -1.7%

2% 6% 4% 1% 2% 3% MSN -0.1% 6% 0.3% -1.8% -5.2% -1.9%

5% 4% 2% 2% 1% 3% CNN 5% 4% 0.6% 1% 0.4% 2%

Base: 5,766(CY), 5,335(PY)


84

Table 30: Financial news & info (rates, quotes, etc.)


4% 6% 5% 77% 5% 15% Google -8.3% 6% -11.9% 41% 0.8% 2%

6% 13% 5% 3% 77% 13% Yahoo -8.1% 13% -2.9% -1.4% 54% 3%

21% 19% 16% 2% 3% 12% Moneycontrol/CNBC 12% 19% -1.9% -12.1% -0.8% -1.4%

9% 8% 13% 2% 1% 7% ICICI Direct/ICICI Bank -0.8% 8% 6% -15.2% -5.5% -2.4%

3% 4% 5% 3% 5% 7% Rediff -3.7% 4% -1.0% -2.3% -16.6% -0.1%

9% 6% 6% 0.2% 0.1% 4% Sharekhan 5% 6% 2% -1.6% -1.9% 0.1%

5% 2% 3% 0.5% 2% 4% Indiatimes -4.1% 2% -0.6% -2.9% -2.0% -1.0%

5% 6% 5% 2% 2% 4% NDTV/NDTVprofit 5% 6% 5% 1% 1% 3%

3% 3% 5% 0.5% 0.3% 3% Economictimes -0.4% 3% 3% -1.6% -2.6% 0.5%

7% 4% 1% 0.1% 0.0% 3% Stockmarket*

Base: 5,106(CY), 3,218(PY)

India Online 2007

85

Table 31: Online share trading


ICICI Direct 38% 44% 34% 30% 22% 37%

Sherkhan 22% 27% 22% 14% 17% 23%

Indiabulls 7% 6% 6% 17% 4% 7%

Kotaksecurities 2% 3% 3% 0.0% 2% 3%

Geojit 5% 0.4% 6% 0.0% 0.0% 3%

BSE 4% 2% 3% 1% 1% 3%

5Paisa 4% 2% 2% 0.4% 35% 3%

hdfcsec 2% 2% 5% 4% 2% 2%

NSE 1% 1% 4% 0.3% 0.5% 2%

Religare 1% 1% 3% 0.0% 0.0% 2%

Base: 1,108


86

Table 32: Real estate info


Google 7% 9% 10% 78% 9% 19%

Yahoo 6% 20% 6% 2% 70% 15%

Magicbricks 23% 19% 15% 3% 3% 13%

99acres 18% 12% 14% 2% 1% 10%

Realestates 8% 9% 13% 2% 2% 10%

Rediff 4% 4% 4% 2% 5% 7%

Indiaproperty 15% 3% 3% 1% 3% 5%

Property 4% 3% 6% 0.6% 0.3% 3%

Indiatimes 2% 0.9% 1% 1% 0.9% 3%

Sify 0.0% 0.8% 1% 0.2% 1% 1%

Base: 4,538

India Online 2007

87

Table 33: Matrimonial search


37% 37% 28% 13% 13% 28% Shaadi 0.2% 37% -4.4% -16.3% -21.8% -5.5%

32% 30% 33% 17% 13% 26% Bharatmatrimony 0.7% 30% 1% -9.8% -3.9% -3.8%

2% 0.8% 0.7% 47% 1% 7% Google 1% 0.8% 0.2% 40% 1% 7%

1% 6% 3% 2% 46% 7% Yahoo 0.9% 6% 1% -0.8% 14% 2%

5% 4% 7% 6% 5% 5% Jeevansaathi -18.5% 4% -10.5% -5.9% -4.4% -11.6%

4% 4% 3% 4% 5% 5% Matrimony*

2% 1% 2% 1% 3% 4% Rediff 1% 1% -1.2% -0.7% 0.0% -0.6%

2% 4% 6% 2% 3% 3% Tamilmatrimony*

8% 3% 4% 0.1% 0.9% 3% Simplymarry*

1% 1% 3% 0.8% 4% 2% Matrimonial -0.2% 1% -3.1% -11.5% 3% -2.8%

Base: 5,083(CY), 4,829(PY)


88

Table 34: Dating/friendship search


39% 33% 35% 16% 14% 29% Orkut 22% 33% 32% 15% 14% 25%

17% 25% 26% 18% 68% 25% Yahoo -13.3% 25% -10.1% -1.3% 10% -9.8%

2% 2% 4% 53% 2% 10% Google 0.4% 2% -1.0% 14% -5.2% 5%

6% 7% 6% 4% 4% 8% Rediff 3% 7% -4.3% -1.1% -0.1% -3.6%

7% 4% 4% 0.7% 0.9% 3% Fropper -1.0% 4% -2.8% -0.3% -0.5% -3.9%

5% 2% 2% 0.8% 0.8% 3% Date -7.1% 2% -0.5% -5.1% 0.3% -1.2%

3% 2% 2% 0.3% 0.0% 2% Indiatimes -2.5% 2% -7.0% -2.1% -2.3% -6.4%

6% 1% 1% 0.0% 0.1% 2% Friends 6% 1% -0.1% -0.1% -0.2% 0.9%

0.9% 2% 3% 0.1% 1% 2% Friendfinder -1.8% 2% -0.5% -2.4% -0.3% -1.3%

5% 4% 0.3% 0.0% 0.7% 2% Hi5 -0.2% 4% -3.0% -4.5% -1.2% -0.9%

Base: 5,020(CY), 4,518(PY)

India Online 2007

89

Table 35: Social networking/communities


Orkut 61% 60% 61% 89% 21% 58%

Yahoo 12% 18% 11% 7% 73% 18%

MSN 3% 1% 1% 1% 1% 2%

Friends 6% 1% 2% 0% 0% 2%

Communities 2% 1% 1% 0% 0% 1%

Hi5 1% 1% 1% 0% 1% 1%

Myspace 0% 0% 0% 1% 0% 1%

Tagged 1% 0% 0% 0% 1% 0%

Linkedin 0% 1% 0% 0% 0% 0%

Fropper 1% 0% 0% 0% 0% 0%

Base: 3,921


90

Table 36: Online gaming


18% 15% 18% 10% 68% 20% Yahoo -17.6% 15% -11.9% -16.2% 26% -12.6%

16% 24% 16% 9% 5% 15% Zapak*

4% 3% 8% 53% 4% 11% Google -1.1% 3% -7.2% 23% -4.5% -0.5%

5% 6% 9% 4% 2% 7% Games -0.2% 6% 3% -2.9% -3.0% 0.5%

1% 1% 2% 2% 5% 4% Rediff -4.2% 1% -2.7% -2.3% 2% -1.2%

6% 4% 5% 2% 0.9% 4% Miniclip 2% 4% 0.3% 0.5% -1.8% 0.1%

5% 7% 5% 0.6% 0.0% 3% Contest2Win 5% 7% 4% 0.1% -0.7% 2%

6% 2% 2% 3% 0.2% 3% Indiagames*

2% 1% 2% 0.3% 0.7% 2% Indiatimes -7.0% 1% -3.1% -11.0% -1.2% -3.7%

0.6% 3% 1% 1% 1% 2% MSN -2.3% 3% -3.0% 0.9% -5.1% -1.4%

Base: 5,141(CY), 3,353(PY)

India Online 2007

91

Table 37: Download mobile content


11% 15% 10% 11% 64% 16% Yahoo -23.4% 15% -11.7% -11.2% 23% -8.5%

10% 9% 18% 6% 7% 13% Rediff -6.7% 9% -2.4% -11.9% -12.6% -8.1%

2% 6% 4% 63% 6% 11% Google -1.3% 6% -13.5% 31% 2% -0.7%

10% 8% 15% 3% 3% 8% Nokia 7% 8% 12% 2% -3.3% 5%

10% 5% 7% 5% 0.9% 7% Indiatimes -7.7% 5% -4.8% -3.7% -13.4% -6.0%

5% 5% 2% 1% 2% 4% Mobile9*

3% 3% 5% 0.5% 1% 3% Airtel -0.9% 3% 0.9% -0.9% 1% -0.1%

0.7% 4% 1% 0.2% 0.5% 3% Ringtones -2.5% 4% -1.0% -0.1% 0.3% 0.5%

4% 3% 3% 2% 0.6% 3% Hutch 3% 3% 3% 0.8% 0.5% 2%

3% 5% 4% 0.3% 1% 3% Funmaza 3% 5% 3% -0.1% -1.2% 0.2%

Base: 5,216(CY), 3,070(PY)


92

Table 38: Download music


25% 31% 23% 13% 12% 21% Raaga 9% 31% 8% -2.9% -1.0% 5%

5% 10% 8% 4% 54% 12% Yahoo -15.4% 10% -2.7% -8.9% 19% -2.5%

1% 2% 3% 50% 10% 9% Google -4.4% 2% -9.8% 25% 6% 0.4%

6% 3% 5% 1% 0.7% 4% Music 0.8% 3% 3% 1% 0.0% 2%

10% 3% 7% 2% 0.5% 4% Musicindiaonline 5% 3% 0.3% -0.6% -0.7% -0.6%

7% 3% 7% 3% 1% 4% Cooltoad 2% 3% -1.9% -6.3% -1.8% -3.9%

1% 1% 4% 2% 2% 4% Rediff -5.7% 1% -1.3% -2.4% -2.5% -1.3%

2% 3% 2% 1% 2% 2% Mp3 -0.5% 3% -2.6% -1.1% 0.8% -1.0%

0.6% 4% 4% 2% 0.3% 2% Tamilsongs -1.0% 4% 4% 2% 0.3% 1%

1% 1% 3% 4% 0.1% 2% Youtube*

Base: 5,410(CY), 3,876(PY)

India Online 2007

93

Table 39: Sports content


37% 40% 27% 17% 11% 28% Espnstarsports*

7% 9% 9% 7% 66% 13% Yahoo -6.2% 9% -0.4% 0.6% 41% 0.9%

13% 12% 17% 4% 2% 11% Cricinfo 8% 12% 10% 3% -0.9% 3%

3% 4% 3% 55% 3% 10% Google -0.3% 4% -10.8% 33% 0.8% 2%

7% 5% 11% 4% 7% 9% Rediff -4.9% 5% -2.7% -0.8% -3.7% -3.2%

8% 3% 4% 2% 1% 5% Sports 7% 3% 0.9% 1% 0.1% 2%

3% 3% 3% 1% 0.7% 3% Indiatimes -7.4% 3% -1.4% -3.5% -2.4% -2.4%

3% 4% 3% 1% 0.6% 3% NDTV -1.3% 4% 0.9% -3.9% -4.9% -0.7%

1% 2% 2% 1% 0.6% 2% Sify -0.7% 2% 0.0% -0.7% -5.6% -0.4%

2% 2% 2% 0.7% 0.5% 2% Tensports 0.6% 2% -1.3% -0.2% -0.3% -2.3%

Base: 5,347(CY), 3,951(PY)


94

Table 40: Cinema content


6% 14% 8% 5% 63% 13% Yahoo -8.3% 14% -3.3% 0.4% 45% 1%

3% 4% 5% 62% 3% 11% Google 0.7% 4% -11.4% 37% 0.3% 1%

2% 3% 7% 1% 3% 6% Rediff -4.0% 3% -3.0% -4.1% 0.4% -2.2%

11% 4% 6% 5% 2% 5% PVR Cinemas 1% 4% 2% 1% 0.0% 0.0%

4% 4% 6% 5% 3% 5% Bollywood 2% 4% 1% 0.7% -4.6% -0.6%

4% 8% 2% 0.3% 0.3% 4% Cinema 3% 8% -1.6% -0.8% -0.5% 0.9%

6% 7% 6% 1% 0.7% 4% Indiafm -5.2% 7% -0.4% 0.4% -3.4% -2.3%

9% 4% 2% 1% 2% 4% Movies 8% 4% 1% 0.7% 1% 3%

3% 2% 2% 0.1% 2% 3% Indiatimes -7.4% 2% -2.2% -3.8% 0.1% -2.1%

4% 2% 4% 0.4% 0.6% 3% Sify -0.1% 2% 1% -1.8% -8.5% -1.5%

Base: 5,126(CY), 3,051(PY)

India Online 2007

95

Table 41: Most used local language websites (other than English)


Google 4% 10% 6% 49% 8% 14%

Yahoo 5% 5% 0.3% 5% 56% 9%

Malayalamanorama 0.7% 3% 5% 1% 9% 8%

Eeandu 15% 8% 10% 1% 2% 7%

Webduniya 2% 7% 11% 0.4% 0.3% 4%

Keralakaumudi 0.0% 0.0% 0.0% 23% 0.0% 4%

Marathiworld 5% 2% 2% 3% 0.8% 3%

Thinamalar 12% 2% 4% 5% 2% 3%

Webulagam 2% 5% 0.7% 2% 2% 3%

Jagran 7% 6% 4% 0.3% 0.0% 3%

Base: 844


96

Table 42: Preferred blog sites


Google 16% 18% 11% 59% 10% 22%

Yahoo 17% 17% 10% 11% 62% 19%

Blogspot 14% 16% 17% 2% 6% 10%

Blogger 21% 10% 17% 1% 2% 10%

Rediff 6% 5% 17% 9% 4% 10%

Ibibo 11% 9% 16% 2% 4% 9%

Tagged 0.0% 17% 0.0% 0.2% 0.9% 3%

Hi5 1% 2% 0.1% 0.1% 4% 2%

Indiatimes 0.1% 2% 0.6% 2% 2% 2%

Youtube 0.9% 0.9% 0.2% 9% 2% 2%

Base: 1,331

India Online 2007

97

Most Used Offline Media Brands Table 43: Favorite TV channels


17% 9% 9% 8% 23% 13% Star Plus 11% 9% -0.3% -4.6% 17% 4%

11% 8% 7% 7% 5% 7% Discovery 6% 8% -0.2% -2.5% -3.2% -0.2%

5% 5% 9% 2% 2% 5% NDTV 0.6% 5% 5% 0.2% -7.8% 0.8%

3% 5% 10% 3% 2% 5% Aajtak -0.9% 5% 6% 1% 0.8% 1%

5% 4% 5% 7% 3% 5% HBO 0.9% 4% 1% 3% -0.6% 0.8%

2% 5% 7% 5% 3% 4% Sun TV -2.7% 5% 4% 4% -4.3% 0.3%

5% 4% 3% 4% 4% 4% Sony 1% 4% -1.1% -2.0% 0.2% -0.8%

4% 3% 3% 3% 3% 3% Zee TV -0.1% 3% -0.5% -2.6% 1% -0.1%

3% 5% 2% 2% 4% 3% Star Movies 2% 5% -1.5% -0.2% 3% 0.9%

6% 4% 3% 1% 0.7% 3% CNBC 4% 4% 1% 0.2% 0.0% 0.8%

Base: 6,398(CY), 6,651(PY)


98

Table 44: Favorite newspapers


46% 34% 34% 32% 31% 37% The Times of India 14% 34% -3.8% -0.6% -1.7% 3%

14% 25% 18% 23% 14% 18% The Hindu 4% 25% 5% 6% -1.6% 5%

7% 5% 5% 7% 9% 6% The Hindustan Times -8.7% 5% -0.6% -3.5% 6% -1.9%

3% 4% 2% 8% 5% 4% Deccan Chronicle 1% 4% 2% 8% 4% 3%

2% 4% 4% 0.8% 3% 3% Indian Express -0.3% 4% 1% -0.7% -1.5% 0.1%

5% 4% 2% 2% 2% 3% The Telegraph 3% 4% -0.7% -0.1% 0.9% 0.6%

1% 3% 3% 2% 1% 3% Eenadu 0.2% 3% 0.7% 2% -0.4% 0.5%

3% 2% 3% 2% 0.9% 3% The Economic Times 2% 2% 2% 1% -0.1% 1%

1% 3% 4% 1% 3% 2% Dainik Bhaskar -0.6% 3% 2% 0.5% -4.3% -0.7%

0.7% 3% 3% 0.3% 2% 2% Dainik Jagran -1.1% 3% 0.2% -1.2% 1% -1.1%

Base: 6,406(CY), 6,356(PY)

India Online 2007

99

Table 45: Favorite magazines


22% 23% 34% 19% 20% 26% India Today -8.6% 23% 8% -5.6% -6.3% -3.5%

7% 7% 6% 5% 7% 6% Reader's Digest -0.1% 7% -0.6% 0.4% 0.1% -0.7%

5% 8% 6% 9% 5% 6% The Week 1% 8% 0.7% 6% -1.4% 2%

2% 6% 4% 6% 2% 4% Sports Star -1.8% 6% 2% 5% 1% 2%

7% 3% 4% 2% 1% 4% Outlook 3% 3% -1.5% -6.7% -9.0% -1.6%

6% 4% 1% 3% 5% 4% Femina 0.8% 4% -5.9% -4.4% -1.3% -2.3%

3% 5% 5% 0.6% 1% 3% Business World 2% 5% 3% -1.1% 0.8% 0.9%

2% 5% 2% 0.8% 0.9% 2% Digit -0.8% 5% -0.1% -3.6% -3.4% -0.9%

3% 2% 1% 2% 4% 2% Film Fare -2.3% 2% -0.7% 0.3% 2% 0.3%

0.9% 2% 1% 2% 11% 2% Star Dust -2.3% 2% -0.8% 0.9% 10% 0.4%

Base: 5,664(CY), 5,607(PY)


100

Table 46: Favorite radio channels


37% 46% 40% 28% 26% 38% Radio Mirchi 13% 46% 13% -6.3% -5.1% 11%

13% 13% 11% 15% 10% 13% Red FM 7% 13% 2% 4% 5% 4%

14% 8% 9% 13% 12% 11% Radio City 1% 8% -2.1% 5% -1.6% -1.2%

8% 9% 14% 13% 14% 11% AIR -8.5% 9% 0.6% 2% -3.8% -2.9%

3% 6% 8% 8% 11% 6% Suryan FM -1.5% 6% 6% 6% 4% 3%

7% 6% 6% 2% 3% 6% Big FM*

3% 2% 5% 9% 9% 5% AIR FM GOLD -23.9% 2% -21.4% -13.8% -14.3% -23.5%

4% 3% 1% 3% 3% 3% Fever FM*

1% 3% 2% 4% 5% 3% AIR FM RAINBOW -0.1% 3% -1.6% 2% 5% 1%

5% 0.3% 0.7% 0.1% 0.1% 1% World Space 5% 0.3% 0.4% -1.3% -0.2% 1%

Base: 4,458(CY), 5,331(PY)

India Online 2007

101

Change from PY

5%

20%

54%

14% 16%5%

16%

1%

-4% -9% -9%

46%

1% 0%

-6%

13%

51%

-6%-20%

0%

20%

40%

60%

Response to Online Marketing Stimuli Chart 44: Response to online marketing stimulus

Base: 5,855

Chart 37: Response to online marketing stimulus Base: 5,855(CY), 6,805(PY)

Current Year

36%47%

55%50%

42%38%

46%

34%41%

48% 49%54%45% 50%54% 51%

40%

48%

0%

20%

40%

60%

80%


users

Clicked a sponsored search adClicked a banner adParticipated in an online contest


102

Offline Brands Recalled Table 47: Tom recall for brands


11% 9% 9% 7% 7% 9% Sony 6% 9% 4% -1.7% 4% 3%

6% 10% 7% 7% 9% 8% Nokia 0.9% 10% -0.3% 2% 1% 1%

5% 5% 5% 5% 5% 5% Tata -2.2% 5% -1.0% -0.9% -4.0% -2.3%

3% 5% 3% 4% 6% 4% LG 0.3% 5% -0.6% 0.1% -0.6% 0.3%

3% 3% 3% 3% 3% 3% Reliance -1.4% 3% -1.1% 0.9% 1% 0.0%

4% 3% 5% 0.9% 3% 3% HLL 2% 3% 3% -0.7% 2% 1%

3% 3% 3% 4% 2% 3% Nike 2% 3% 0.1% -0.9% -0.8% -0.2%

2% 3% 3% 2% 1% 2% Colgate 0.0% 3% 1% 0.8% 0.5% 0.6%

2% 2% 2% 2% 0.4% 2% Pepsi -1.8% 2% -0.1% -0.7% -1.2% 0.0%

2% 3% 2% 1% 3% 2% Samsung 0.0% 3% -0.8% -0.8% 2% -0.4%

Base: 6,901(CY), 7,390(PY)

103

Segment Wise Detailed Tables

104

Table 1: Gender breakup

Gender Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Male 80% 86% 87% 82% 77% 83%

Female 20% 14% 13% 18% 23% 17%

Table 2: Age group distribution

Age Group Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Age 13-18 years 7% 11% 3% 10% 16% 8%

Age 19-24 years 22% 34% 23% 39% 32% 30%

Age 25-35 years 45% 38% 44% 38% 34% 40%

Age 36-45 years 17% 11% 18% 9% 9% 14%

Age 46-55 years 7% 5% 9% 4% 7% 6%

Above Age 55 years 3% 1% 4% 1% 2% 2%

105

Table 3: City class - by population size

City Class Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Up to 1 Lakh 7% 9% 9% 10% 13% 10%

1-5 Lakhs 15% 15% 13% 13% 15% 15%

5-10 Lakhs 23% 28% 29% 31% 32% 26%

Above 10 Lakhs 55% 47% 49% 46% 40% 49%

Table 4: City class - by market size

City Class Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Metro 48% 42% 39% 39% 35% 42%

Urban uptowns 11% 13% 18% 14% 13% 14%

Emerging Towns 14% 16% 14% 18% 12% 14%

Others 27% 29% 29% 29% 40% 31%

106

Table 5: Cities

Cities Makemytrip Yatra IRCTC Google Yahoo All travel users

Projected Base 1,079 1,051 1,123 695 524 7,089

Sample Base 1,079 1,051 1,123 695 524 7,089

Delhi 20% 14% 12% 12% 11% 13%

Mumbai 13% 10% 11% 12% 7% 11%

Bangalore 10% 7% 6% 7% 5% 7%

Hyderabad 5% 6% 6% 6% 7% 6%

Chennai 4% 6% 8% 4% 4% 5%

Kolkata 4% 4% 3% 4% 2% 3%

Pune 3% 3% 2% 3% 2% 3%

Ahmadabad 2% 2% 2% 0.6% 2% 2%

Lucknow 0.9% 1% 3% 1% 1% 1%

Coimbatore 0.9% 1% 0.7% 0.9% 2% 1%

Visakhapatanam 1% 0.8% 1% 2% 1% 0.9%

Nagpur 0.6% 0.6% 1% 1% 0.6% 0.8%

Indore 0.6% 0.7% 2% 0.3% 1% 0.7%

Jaipur 1% 1% 0.8% 0.0% 1% 0.7%

Surat 0.7% 0.7% 2% 0.4% 0.8% 0.7%

Vadodara 0.9% 1% 1% 0.6% 0.6% 0.7%

Bhopal 0.4% 0.1% 1% 0.7% 0.4% 0.6%

Chandigarh 1% 0.3% 0.4% 0.4% 0.4% 0.6%

Faridabad 0.9% 0.2% 0.9% 0.7% 0.6% 0.6%

Ludhiana 0.7% 0.8% 0.2% 0.1% 0.6% 0.6%

Patna 0.5% 0.7% 0.5% 0.7% 0.4% 0.6%

Thiruvanathapuram 0.4% 0.5% 0.7% 0.9% 1% 0.6%

Bhubaneswar 0.6% 0.5% 0.4% 0.9% 0.8% 0.5%

Kochi 0.4% 0.7% 0.4% 0.6% 0.8% 0.5%

Vijayavada 0.6% 0.8% 0.5% 0.7% 0.0% 0.5%

Dehradun 0.5% 0.2% 0.5% 0.3% 0.6% 0.4%

Madurai 0.1% 0.5% 0.3% 0.9% 0.2% 0.4%

Agra 0.5% 0.2% 0.2% 0.4% 0.2% 0.3%

Cuttack 0.4% 0.1% 0.3% 0.3% 0.0% 0.3%

Guwahati 0.5% 0.8% 0.1% 0.1% 0.0% 0.3%

kanpur 0.1% 0.3% 0.5% 0.4% 0.2% 0.3%

Mangalore 0.2% 0.3% 0.1% 0.1% 0.2% 0.3%

Meerut 0.5% 0.3% 0.1% 0.1% 0.4% 0.3%

Nashik 0.6% 0.2% 0.4% 0.3% 0.2% 0.3%

Rajkot 0.2% 0.1% 0.4% 0.3% 0.4% 0.3%

Ranchi 0.2% 0.3% 0.4% 0.1% 0.6% 0.3%

Mysore 0.1% 0.1% 0.7% 0.1% 0.8% 0.3%

Allahabad 0.2% 0.2% 0.2% 0.1% 0.4% 0.2%

Amritsar 0.3% 0.4% 0.2% 0.3% 0.2% 0.2%

Aurangabad 0.1% 0.1% 0.3% 0.3% 0.4% 0.2%

Goa 0.3% 0.2% 0.2% 0.0% 0.0% 0.2%

Jabalpur 0.1% 0.1% 0.2% 0.0% 0.2% 0.2%

Jodhpur 0.0% 0.4% 0.4% 0.1% 0.6% 0.2%

Raipur 0.2% 0.1% 0.4% 0.1% 0.2% 0.2%

Tiruchirapalli 0.1% 0.5% 0.1% 0.0% 0.2% 0.2%

Solapur 0.1% 0.3% 0.1% 0.3% 0.4% 0.1%

107

Varanasi 0.0% 0.4% 0.3% 0.0% 0.4% 0.1%

Assansol 0.0% 0.0% 0.0% 0.1% 0.0% 0.0%

Dhanbad 0.0% 0.0% 0.1% 0.1% 0.2% 0.0%

Others from North India 7% 8% 7% 9% 7% 8%

Others from South India 6% 11% 10% 16% 18% 12%

Others from East India 4% 6% 5% 5% 7% 5%

Others from West India 5% 6% 6% 5% 8% 6%

Table 6: Region-wise break-ups

Region Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

North 25% 22% 22% 19% 21% 21%

East 13% 13% 10% 13% 13% 12%

South 35% 42% 40% 46% 43% 41%

West 27% 24% 29% 22% 24% 26%

108

Table 7: Preferred language of reading

Languages Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

English 60% 44% 49% 45% 33% 47%

Hindi 15% 16% 19% 14% 18% 16%

Telugu 4% 6% 6% 8% 6% 6%

Tamil 3% 9% 7% 7% 7% 6%

Marathi 3% 3% 4% 5% 5% 4%

Malayalam 3% 3% 3% 5% 7% 4%

Kannada 2% 3% 3% 2% 6% 3%

Gujarati 4% 5% 3% 2% 4% 3%

Bengali 2% 3% 3% 3% 3% 3%

Oriya 1% 0.9% 1% 4% 6% 2%

Punjabi 1% 1% 0.6% 0.9% 2% 1%

Urdu 0.4% 0.4% 0.5% 2% 1% 1%

Awadhi 0.6% 0.3% 0.4% 0.8% 1% 0.6%

Assamese 0.3% 2% 0.1% 0.3% 0.1% 0.5%

Marwari 0.3% 1% 0.3% 0.2% 0.0% 0.4%

Konkani 0.2% 0.4% 0.0% 0.2% 0.0% 0.3%

Sindhi 0.0% 0.8% 0.4% 0.3% 0.8% 0.3%

Bhojpuri 0.0% 0.0% 0.3% 0.4% 0.1% 0.2%

Chhattisgarhi 0.3% 0.1% 0.0% 0.0% 0.0% 0.1%

Haryanvi 0.0% 0.1% 0.0% 0.3% 0.0% 0.1%

Kashmiri 0.2% 0.1% 0.0% 0.0% 0.0% 0.1%

Maithili 0.0% 0.2% 0.0% 0.2% 0.2% 0.1%

Manipuri 0.1% 0.0% 0.0% 0.1% 0.1% 0.1%

Nepali 0.0% 0.0% 0.2% 0.0% 0.1% 0.1%

Tulu 0.0% 0.1% 0.0% 0.0% 0.0% 0.1%

Bodo 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Bundeli 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Dogri 0.0% 0.0% 0.0% 0.2% 0.0% 0.0%

Kanauji 0.1% 0.0% 0.0% 0.0% 0.0% 0.0%

Kurchi 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Magahi 0.0% 0.0% 0.0% 0.1% 0.1% 0.0%

Sanskrit 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Santhali 0.0% 0.1% 0.0% 0.1% 0.0% 0.0%

Others 0.2% 0.7% 0.5% 0.9% 0.3% 0.4%

109

Table 8: Socio economic classification

SEC Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

SEC A 40% 31% 32% 24% 22% 30%

SEC B 35% 30% 35% 27% 32% 32%

SEC C 13% 21% 19% 27% 18% 20%

SEC D 9% 12% 10% 14% 18% 12%

SEC E 3% 6% 4% 8% 10% 6%

Table 9: Highest educational qualification

Educational Qualification Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Up to SSC/HSC 9% 14% 7% 10% 18% 11%

College but not Graduate 16% 19% 20% 27% 23% 21%

Graduate & above - general stream 40% 34% 41% 36% 37% 39%

Graduate & above - professional stream 35% 33% 32% 28% 22% 30%

Others - - - - - -

Table 10: Occupational break up

Occupation Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Unemployed 25% 36% 25% 39% 47% 33%

Employed 75% 64% 75% 61% 53% 67%

110

Table 11: Function / field of occupation

Function / Field Of Occupation Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 796 689 830 394 286 4,711

Marketing/Sales 19% 20% 12% 15% 20% 16%

Advertising/PR/Media 6% 4% 3% 2% 3% 3%

Finance 10% 9% 8% 9% 13% 9%

HR 4% 2% 2% 4% 2% 2%

IT/Software 15% 22% 22% 22% 11% 20%

Manufacturing 15% 11% 13% 10% 9% 12%

Administration 9% 6% 12% 8% 12% 10%

Academics 3% 3% 4% 4% 5% 4%

Consultancy 6% 5% 6% 5% 6% 6%

Others 15% 19% 19% 23% 19% 18%

Table 12: Head of the household

Head Of The Household Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Head of the household 50% 45% 63% 42% 41% 50%

Not head of the household 50% 55% 37% 58% 59% 50%

Table 13: Monthly family income

Monthly Family Income Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 950 916 1,015 587 432 6,158

Up to 5K 4% 9% 7% 14% 17% 10%

5-10K 16% 17% 20% 26% 26% 21%

10-20K 20% 27% 30% 29% 27% 26%

20-30K 17% 17% 17% 14% 9% 15%

30-50K 20% 16% 13% 7% 8% 13%

50-75K 8% 6% 4% 3% 3% 5%

75-100K 7% 3% 3% 3% 2% 4%

Above 100K 8% 6% 6% 4% 9% 6%

111

Table 14: Most expensive vehicle owned by the household

Vehicle Owned Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Bi-Cycle 2% 5% 4% 10% 8% 6%

Motor-Cycle/Scooter 34% 42% 47% 38% 43% 41%

Small Car (Up to Rs.4 lakhs) 27% 24% 22% 16% 15% 21%

Mid-Size Car (Rs.4 to 8 lakhs) 20% 13% 7% 8% 7% 11%

Premium/Luxury Car (Above Rs.8 lakhs) 4% 1% 1% 1% 5% 2%

Others 0.8% 0.8% 0.8% 0.7% 2% 1%

Don't own a vehicle 13% 14% 19% 27% 20% 18%

Table 15: Ownership of credit cards (individually)

Credit Cards Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Single Card 25% 20% 21% 15% 14% 21%

Multiple Cards 28% 21% 25% 11% 14% 20%

No Credit Card 47% 59% 54% 74% 72% 59%

112

Table 16: Household asset ownership

Household Asset Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Color TV 97% 96% 93% 91% 93% 94%

Mobile Phone 95% 92% 93% 91% 88% 92%

Bank Account 91% 85% 89% 78% 81% 85%

Fridge 90% 82% 81% 70% 74% 79%

Cable TV connection/DTH 86% 80% 75% 68% 71% 76%

Computer/Laptop 82% 77% 73% 64% 65% 72%

Camera 81% 71% 70% 62% 67% 70%

Life Insurance 74% 67% 72% 56% 61% 66%

Landline Phone 77% 69% 63% 57% 62% 66%

Debit Card 74% 66% 65% 51% 50% 62%

Washing Machine 71% 64% 62% 55% 59% 60%

Music System/DVD/MP3 73% 64% 59% 50% 55% 60%

Home 68% 64% 59% 55% 57% 60%

Credit Card 57% 46% 46% 31% 31% 44%

Medical Insurance/CGHS 51% 44% 39% 30% 27% 39%

Fixed Deposits 52% 41% 39% 30% 32% 39%

Air Conditioner 44% 34% 24% 24% 24% 30%

Microwave 42% 33% 24% 21% 23% 29%

Mutual Funds 37% 29% 28% 16% 20% 27%

Demat Account 36% 31% 27% 16% 21% 26%

Video Camera 34% 26% 18% 19% 22% 24%

Share of Companies 31% 28% 25% 13% 20% 24%

IPod 19% 16% 12% 8% 10% 14%

Chit Fund Deposits 6% 7% 8% 7% 11% 7%

113

Table 17: Current loan liabilities

Current Loan Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Home Loan 41% 43% 41% 45% 42% 43%

Car Loan 23% 15% 11% 10% 9% 14%

Two - wheeler Loan 10% 15% 14% 12% 13% 13%

Education Loan 6% 10% 6% 10% 10% 9%

Business Loan 5% 5% 4% 4% 5% 4%

Personal Loan 25% 24% 29% 17% 19% 23%

Consumer Durables 4% 3% 5% 3% 2% 4%

Other 0.1% 0.4% 0.0% 0.0% 0.0% 0.1%

None of Above 5% 6% 8% 11% 14% 8%

Table 18: Years of experience in using internet

Experience In Using Internet Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Less Than 6 Months 3% 7% 6% 7% 10% 7%

6 Months-1 year 5% 8% 6% 7% 11% 7%

1-2 years 9% 14% 9% 17% 17% 13%

2-5 years 21% 25% 31% 29% 23% 26%

5-6 years 17% 14% 13% 12% 13% 13%

6 years and above 46% 31% 34% 29% 27% 34%

114

Table 19: Place of accessing internet

Place Of Access Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Home 76% 72% 63% 56% 60% 64%

Place of work (office / school / college) 83% 80% 84% 83% 80% 82%

Cyber cafe 44% 51% 49% 54% 50% 48%

In transit (while traveling) 16% 12% 7% 8% 3% 9%

Table 20: Type of internet connection at home

Type Of Internet Connection Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 818 752 695 414 306 4,597

Regular Dial Up 15% 12% 15% 17% 18% 15%

Broadband Dial Up 28% 30% 23% 27% 22% 27%

24 Hrs Broadband 38% 35% 39% 27% 33% 35%

Mobile Connection 6% 6% 5% 7% 7% 6%

Wi Fi Connection 2% 0.9% 1% 1% 2% 1%

Cable 6% 8% 10% 12% 10% 9%

Lease/Dedicated line 0.6% 0.6% 0.5% 0.0% 0.7% 0.4%

Others 1% 4% 0.2% 4% 2% 2%

Don't Know 3% 4% 6% 4% 7% 4%

115

Table 21: Type of internet connection at office

Type Of Internet Connection Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 898 848 951 564 420 5,844

Regular Dial Up 4% 5% 8% 7% 8% 6%

Broadband Dial Up 25% 21% 23% 22% 24% 24%

24 Hrs Broadband 37% 39% 38% 33% 26% 34%

Mobile Connection 2% 2% 1% 2% 4% 2%

Wi Fi Connection 4% 3% 3% 2% 4% 3%

Cable 4% 5% 5% 11% 7% 6%

Lease/Dedicated line 13% 10% 8% 5% 2% 9%

Others 0.9% 1% 2% 2% 2% 1%

Don't Know 11% 14% 14% 18% 24% 15%

Table 22: Service provider subscribed to at home

Service Provider Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 818 752 695 414 306 4,597

VSNL / Tata 10% 12% 11% 10% 9% 10%

BSNL/Sancharnet 32% 32% 37% 32% 38% 35%

MTNL 5% 6% 5% 6% 3% 6%

Reliance 6% 5% 5% 3% 5% 5%

Sify 7% 7% 6% 7% 6% 6%

Spectranet 0.4% 0.0% 0.0% 0.2% 0.4% 0.1%

Airtel/Bharti 19% 16% 19% 16% 16% 18%

Local Cable Operator 8% 11% 9% 9% 9% 9%

Others 9% 10% 4% 13% 11% 8%

Don't Know 3% 2% 4% 4% 4% 3%

116

Table 23: Service provider subscribed to at office

Service Provider Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 898 848 951 564 420 5,844

VSNL / Tata 12% 12% 15% 10% 14% 12%

BSNL/Sancharnet 24% 25% 29% 24% 27% 27%

MTNL 4% 4% 5% 5% 4% 5%

Reliance 6% 8% 6% 4% 3% 6%

Sify 4% 3% 4% 6% 4% 4%

Spectranet 0.2% 0.1% 0.7% 0.2% 0.0% 0.4%

Airtel/Bharti 19% 18% 17% 14% 12% 17%

Local Cable Operator 4% 5% 3% 5% 6% 4%

Others 10% 8% 6% 11% 9% 8%

Don't Know 16% 17% 15% 22% 20% 17%

Table 24: Frequency of accessing internet from home

Frequency Of Accessing Internet Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 806 723 676 397 296 4,462

Over 5 times a Day 30% 30% 27% 28% 24% 28%

2-5 times a Day 28% 30% 29% 27% 29% 28%

Once Daily 30% 27% 31% 31% 31% 30%

Once In 2-3 Days 8% 9% 9% 7% 10% 9%

Once a Week 3% 4% 3% 5% 6% 4%

1-3 times a Month 0.3% 0.2% 1% 0.6% 0.4% 0.6%

Once in More than a Month 0.2% 0.9% 1% 0.5% 0.5% 0.7%

117

Table 25: Frequency of accessing internet from office

Frequency Of Accessing Internet Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 844 780 889 494 366 5,368

Over 5 times a Day 57% 46% 48% 40% 30% 45%

2-5 times a Day 24% 22% 25% 22% 23% 24%

Once Daily 14% 22% 18% 24% 33% 21%

Once In 2-3 Days 3% 4% 6% 9% 6% 5%

Once a Week 2% 4% 2% 4% 4% 3%

1-3 times a Month 0.5% 0.5% 0.8% 0.2% 3% 0.8%

Once in More than a Month 0.5% 0.8% 0.7% 2% 2% 1%

Table 26: Time of the day accessing internet from home

Time Of Access Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 787 721 658 392 285 4,375

Before 9.00 AM 4% 5% 6% 2% 7% 5%

9.00 AM-12.00 Noon 5% 7% 9% 10% 8% 7%

12.00 Noon - 3.00 PM 5% 3% 3% 6% 4% 5%

3.00 PM-6.00 PM 2% 6% 4% 6% 7% 5%

6.00 PM - 9.00 PM 13% 18% 17% 14% 19% 16%

9.00 PM - 12.00 Midnight 46% 37% 39% 34% 33% 39%

After 12.00 Midnight 4% 4% 2% 3% 4% 3%

Throughout the Day 21% 20% 20% 25% 19% 21%

118

Table 27: Time of the day accessing internet from office

Time Of Access Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 838 790 881 504 367 5,377

Before 9.00 AM 2% 1% 2% 2% 2% 2%

9.00 AM-12.00 Noon 17% 20% 22% 19% 30% 20%

12.00 Noon - 3.00 PM 16% 23% 17% 16% 18% 19%

3.00 PM-6.00 PM 12% 12% 14% 13% 16% 13%

6.00 PM - 9.00 PM 5% 5% 6% 10% 6% 7%

9.00 PM - 12.00 Midnight 5% 5% 2% 6% 4% 4%

After 12.00 Midnight 1% 0.7% 0.8% 1% 0.8% 1%

Throughout the Day 42% 33% 36% 33% 24% 34%

Table 28: Duration of internet usage from home

Duration Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 795 729 670 396 289 4,422

Less than 30 Minutes 17% 12% 13% 11% 12% 13%

30 to 60 Minutes 26% 25% 31% 21% 21% 27%

1-2 Hours 31% 34% 35% 34% 42% 35%

2-5 Hours 18% 22% 16% 26% 18% 19%

5-8 Hours 4% 3% 2% 5% 3% 4%

More than 8 Hours 4% 4% 3% 4% 4% 4%

Table 29: Duration of internet usage from office


Sample Base 823 758 873 501 369 5,269


30 to 60 Minutes 23% 19% 21% 26% 21% 23%

1-2 Hours 22% 30% 27% 27% 29% 26%

2-5 Hours 21% 20% 20% 15% 19% 18%

5-8 Hours 10% 8% 7% 9% 4% 8%

More than 8 Hours 8% 8% 8% 7% 5% 7%

119

Table 30: Duration of internet usage during weekdays


Sample Base 1,009 973 994 624 465 6,427


30 to 60 Minutes 15% 13% 19% 17% 18% 17%

1-2 Hours 31% 30% 33% 30% 29% 31%

2-5 Hours 27% 30% 27% 29% 31% 28%

5-8 Hours 11% 10% 7% 11% 7% 9%

More than 8 Hours 9% 11% 8% 9% 9% 9%

Table 31: Duration of internet usage during weekends


Sample Base 868 868 911 571 415 5,788


30 to 60 Minutes 14% 15% 17% 16% 14% 15%

1-2 Hours 30% 26% 30% 29% 32% 29%

2-5 Hours 24% 29% 26% 23% 22% 25%

5-8 Hours 11% 12% 11% 12% 11% 11%

More than 8 Hours 11% 11% 8% 12% 12% 11%

Table 32: Duration of PC usage from home


Sample Base 823 754 754 431 315 4,757


30 to 60 Minutes 21% 19% 21% 18% 16% 20%

1-2 Hours 35% 36% 37% 32% 36% 35%

2-5 Hours 21% 24% 20% 27% 24% 22%

5-8 Hours 5% 7% 6% 10% 8% 7%

More than 8 Hours 6% 5% 6% 8% 5% 6%

120

Table 33: Duration of PC usage from office


Sample Base 861 790 921 518 389 5,515


30 to 60 Minutes 5% 7% 6% 8% 11% 7%

1-2 Hours 12% 16% 13% 16% 21% 15%

2-5 Hours 22% 25% 26% 19% 19% 23%

5-8 Hours 32% 25% 29% 29% 26% 28%

More than 8 Hours 26% 24% 23% 23% 18% 23%

Table 34: Time spent by internet users on watching TV

Time Spent On Watching TV Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 994 981 1,005 598 478 6,384


30 to 60 Minutes 30% 29% 27% 28% 26% 28%

1-2 Hours 45% 43% 45% 40% 37% 43%

2-5 Hours 12% 11% 12% 12% 18% 12%

5-8 Hours 1% 2% 0.6% 1% 1% 1%

More than 8 Hours 0.2% 0.3% 0.1% 0.9% 0.6% 0.5%

Table 35: Time spent by internet users on reading newspaper

Time Spent On Reading Newspaper Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,009 982 1,023 624 485 6,518


30 to 60 Minutes 46% 41% 46% 41% 39% 43%

1-2 Hours 10% 10% 11% 12% 12% 11%

2-5 Hours 0.6% 2% 0.6% 0.7% 0.2% 0.9%

5-8 Hours 0.1% 0.0% 0.2% 0.3% 0.0% 0.1%

More than 8 Hours 0.0% 0.1% 0.0% 0.2% 0.0% 0.1%

121

Table 36: Time spent by internet users on listening to radio

Time Spent On Listening To Radio Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 717 636 665 421 336 4,439


30 to 60 Minutes 27% 25% 23% 31% 25% 26%

1-2 Hours 18% 17% 19% 16% 22% 19%

2-5 Hours 5% 5% 4% 6% 7% 5%

5-8 Hours 0.8% 1% 1% 0.9% 2% 1%

More than 8 Hours 0.7% 5% 1% 2% 2% 2%

Table 37: Professional activities

Professional Activities Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Emailing - work related 92% 87% 89% 85% 83% 88%

Job Search 82% 87% 80% 93% 92% 87%

Check business/Financial news 45% 40% 38% 28% 29% 38%

Look for Seminar/workshops 30% 27% 26% 29% 32% 28%

Search work related info 63% 57% 55% 53% 49% 55%

Business/prof. networking 37% 36% 34% 31% 28% 33%

Check business travel info. 38% 29% 24% 21% 19% 27%

Instant messaging 77% 82% 71% 93% 93% 82%

None of the Above 0.5% 0.2% 0.5% 0.7% 4% 1%

122

Table 38: Personal activities

Personal Activities Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Emailing - personal 94% 92% 95% 89% 86% 91%

Dating/Friendship 61% 71% 58% 87% 90% 73%

Check personal travel info. 51% 38% 41% 26% 22% 37%

Chatting 65% 69% 58% 65% 69% 63%

Matrimonial search 60% 70% 60% 87% 87% 73%

Share pictures 50% 47% 41% 44% 46% 45%

Check news 77% 82% 74% 92% 92% 84%

Check health & lifestyle info 39% 35% 33% 30% 34% 36%

Check Sports 70% 77% 68% 91% 92% 80%

Astrology 59% 65% 51% 87% 92% 70%

Check cinema content 34% 37% 26% 29% 33% 33%

Check hobby related info 43% 37% 31% 34% 34% 36%

Social networking/communities 60% 65% 51% 86% 86% 69%

Search for product information 58% 51% 53% 47% 40% 51%

None of the above 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Table 39: Downloading activities

Downloading Activities Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Music 71% 78% 67% 91% 97% 79%

Online games 66% 75% 62% 90% 91% 77%

Mobile contents (ring tones/games) 63% 74% 61% 89% 95% 76%

Educational / Learning material 56% 63% 56% 91% 89% 70%

Screensavers/wallpapers 50% 49% 46% 49% 54% 49%

Adult content 20% 21% 19% 20% 24% 21%

Movies 34% 40% 30% 33% 36% 34%

None of the above 7% 6% 11% 1% 0.9% 5%

123

Table 40: E-commerce related activities

E-Commerce Related Activities Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,075 1,040 1,119 693 523 7,056

E-greetings 70% 66% 67% 60% 61% 65%

Net telephony 20% 17% 16% 16% 13% 18%

Online bill payment 39% 38% 38% 21% 18% 32%

Book air tickets 56% 44% 28% 23% 23% 36%

Book train tickets 36% 36% 60% 32% 28% 38%

Book hotels 13% 15% 8% 13% 14% 13%

Buy non-travel products 45% 38% 37% 19% 17% 33%

Net banking 53% 43% 46% 31% 26% 40%

Check real estate info 57% 62% 46% 84% 85% 66%

Check financial info 67% 74% 59% 89% 87% 75%

Online stock trading 25% 25% 20% 14% 15% 20%

None of these 0.9% 1% 2% 0.9% 0.4% 1%

Table 41: Online shopping

Online Shopping Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Searched only 18% 22% 13% 33% 39% 24%

Both searched and bought 70% 61% 71% 44% 38% 58%

Neither searched nor bought 12% 16% 16% 23% 23% 18%

Table 42: Blogging activities

Blogging Activities Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Check / read blogs at least once a week 28% 27% 24% 27% 27% 27%

Check / read blogs less than once a week 11% 8% 8% 10% 11% 10%

Comment on blog post at least once a week 14% 14% 9% 12% 13% 13%

Comment on blog post less than once a week 6% 6% 5% 7% 8% 7%

Have a blog site of my own 11% 9% 6% 9% 6% 8%

None of the above 61% 64% 68% 65% 63% 64%

124

Table 43: Member of an online community

Member Of An Online Community Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Not a member of any online community

49% 51% 57% 56% 59% 55%

Member of an online community 51% 49% 43% 44% 41% 45%

Table 44: Membership by type of online community

Type Of Online Community Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Alumni & Schools 12% 9% 8% 6% 4% 8%

Computers & Internet 4% 8% 6% 8% 6% 6%

Romance & Relationships 5% 5% 4% 4% 4% 5%

Business / Professional community 6% 4% 3% 3% 2% 4%

Music 2% 4% 4% 3% 5% 3%

Games 3% 4% 2% 2% 2% 3%

Schools & Education 2% 2% 3% 3% 4% 2%

Individuals 3% 2% 2% 2% 2% 2%

Arts & Entertainment 1% 3% 1% 2% 0.9% 2%

Cultures & Community 2% 2% 2% 3% 1% 2%

Travel 3% 1% 2% 0.2% 0.6% 1%

Company 1% 1% 0.9% 1% 1% 1%

Health, Wellness & Fitness 1% 1% 0.9% 1% 0.3% 0.9%

Religion & Beliefs 1% 0.5% 1% 0.6% 1% 0.8%

Science & History 0.6% 0.3% 0.4% 1% 3% 0.8%

Automotive 1% 1% 0.2% 0.6% 0.0% 0.7%

Family & Home 0.8% 0.7% 0.6% 0.6% 1% 0.7%

Fashion & Beauty 1% 0.5% 0.3% 0.6% 0.9% 0.6%

Countries & Regional 0.3% 0.4% 0.3% 0.9% 0.4% 0.4%

Hobbies & Crafts 0.5% 0.3% 0.4% 0.7% 0.3% 0.4%

Recreation & Sports 0.1% 0.1% 0.4% 0.1% 0.1% 0.3%

Cities & Neighborhoods 0.3% 0.2% 0.3% 0.1% 0.4% 0.2%

Gay, Lesbian & Bi 0.4% 0.1% 0.1% 0.0% 0.3% 0.2%

Government & Politics 0.3% 0.1% 0.1% 0.4% 0.6% 0.2%

Pets & Animals 0.4% 0.1% 0.2% 0.4% 0.3% 0.2%

Food, Drink & Wine 0.4% 0.0% 0.1% 0.0% 0.0% 0.1%

Not a member of any online community 49% 51% 57% 56% 59% 55%

125

Table 45: Usage of other language websites

Usage Of Other Language Websites

Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Use other language websites 10% 13% 17% 16% 14% 14%

Use only English websites 91% 88% 83% 84% 86% 86%

Table 46: Online activities desired in other languages

Online Activities Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Email 57% 62% 63% 63% 68% 64%

Chatting 44% 51% 45% 55% 51% 49%

Entertainment 44% 48% 46% 50% 51% 48%

Online news 31% 34% 38% 37% 37% 36%

Search information 35% 35% 33% 37% 39% 36%

Online learning / education 29% 34% 33% 39% 37% 34%

Astrology 26% 24% 27% 28% 25% 26%

Online shopping 25% 23% 25% 23% 21% 23%

Travel related information 25% 24% 24% 20% 18% 23%

Matrimony 16% 16% 15% 18% 22% 17%

Blog 16% 16% 11% 13% 11% 14%

Not Interested 25% 20% 19% 16% 15% 19%

126

Table 47: Problems faced while surfing the internet

Problems Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

Difficult to connect 30% 30% 33% 35% 40% 33%

Slow website opening 63% 59% 62% 62% 64% 62%

Cumbersome navigation 17% 16% 14% 15% 11% 15%

Unsolicited ads/pop-ups 61% 51% 52% 40% 36% 49%

Lack of response to queries 31% 29% 28% 30% 26% 29%

Spam / junk mails 65% 61% 56% 49% 39% 55%

Virus / spyware 60% 58% 55% 55% 48% 55%

Lack of local language content 7% 9% 8% 11% 12% 10%

Never faced any problem 5% 8% 7% 8% 11% 8%

Others 1% 2% 2% 1% 1% 2%

127

Table 48: Top of mind unaided recall - all websites


Sample Base 1,062 1,034 1,103 685 519 6,946

Google 32% 38% 28% 53% 13% 31%

Yahoo 24% 30% 32% 21% 58% 29%

Rediff 12% 8% 12% 6% 6% 11%

Orkut 3% 2% 1% 3% 4% 4%

Gmail 3% 3% 4% 2% 1% 3%

Zapak 3% 0.9% 1% 0.3% 1% 2%

Indiatimes 1% 2% 0.9% 0.3% 0.7% 1%

Contest2win 0.2% 0.7% 0.2% 0.0% 0.3% 0.7%

Funmaza 4% 0.0% 0.0% 0.0% 0.0% 0.7%

Moneycontrol 0.9% 0.3% 0.0% 0.1% 0.0% 0.6%

MSN 0.5% 0.5% 0.3% 0.5% 0.0% 0.5%

Sify 0.1% 0.6% 0.7% 1% 0.0% 0.5%

Ebay 0.3% 0.3% 0.6% 0.0% 0.0% 0.4%

NDTV 0.1% 0.4% 0.7% 0.1% 0.0% 0.4%

Wikipedia 0.4% 0.2% 0.4% 0.8% 0.1% 0.4%

India 0.4% 0.0% 0.4% 0.5% 0.3% 0.4%

IRCTC 0.0% 0.0% 2% 0.0% 0.0% 0.3%

Naukri 0.1% 0.3% 0.2% 0.2% 0.2% 0.3%

Sharekhan 0.0% 0.1% 2% 0.0% 0.0% 0.3%

Microsoft 0.1% 0.3% 0.0% 0.2% 0.0% 0.3%

India games 2% 0.0% 0.0% 0.0% 0.0% 0.3%

You tube 0.7% 0.1% 0.4% 0.1% 0.1% 0.3%

Espnstar 0.0% 0.3% 0.1% 0.1% 0.0% 0.2%

Howstuffworks 0.0% 0.4% 0.6% 0.0% 0.3% 0.2%

ICICIbank 0.0% 0.7% 0.2% 0.0% 0.0% 0.2%

ICICIDirect 0.2% 0.4% 0.3% 0.0% 0.0% 0.2%

Monster 0.3% 0.0% 0.2% 0.4% 0.4% 0.2%

Nokia 0.4% 0.2% 0.5% 0.0% 0.0% 0.2%

Raaga 0.6% 0.0% 0.0% 0.0% 0.0% 0.2%

Timesofindia 0.6% 0.0% 0.0% 0.0% 0.0% 0.2%

WWE 0.0% 0.3% 0.0% 0.0% 0.0% 0.2%

Ebizel 0.0% 0.4% 0.3% 0.0% 0.0% 0.2%

Bharatmatrimony 0.0% 0.0% 0.4% 0.0% 0.0% 0.1%

BSNL 0.0% 0.0% 0.3% 0.0% 0.0% 0.1%

Cricinfo 0.0% 0.0% 0.2% 0.0% 0.0% 0.1%

Economictimes 0.0% 0.2% 0.2% 0.0% 0.0% 0.1%

HDFC 0.0% 0.1% 0.1% 0.0% 0.0% 0.1%

Hi5 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Hpindia 0.1% 0.0% 0.1% 0.5% 0.0% 0.1%

Indiabulls 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%

Indiafm 0.0% 0.3% 0.0% 0.0% 0.0% 0.1%

Indiainfoline 0.2% 0.0% 0.0% 0.0% 0.0% 0.1%

Manoramaonline 0.1% 0.0% 0.0% 0.8% 0.0% 0.1%

Reliance 0.0% 0.2% 0.3% 0.0% 0.0% 0.1%

Samachar 0.1% 0.2% 0.0% 0.0% 0.0% 0.1%

Santabanta 0.3% 0.3% 0.1% 0.0% 0.0% 0.1%

Sony 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

128

Timesjob 0.1% 0.1% 0.1% 0.1% 0.0% 0.1%

Makemytrip 0.7% 0.0% 0.0% 0.0% 0.0% 0.1%

Yatra 0.0% 0.3% 0.0% 0.0% 0.0% 0.1%

Zapak 0.0% 0.2% 0.2% 0.0% 0.2% 0.1%

123Greetings 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Amazon 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

BBC 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

CBSE 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Download 0.0% 0.0% 0.0% 0.0% 0.2% 0.0%

Freshersworld 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Indiamart 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Indianexpress 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Indianrailways 0.0% 0.0% 0.1% 0.0% 0.0% 0.0%

Indya 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

NSEindia 0.0% 0.0% 0.0% 0.0% 0.2% 0.0%

Shaadi 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

VSNL 0.0% 0.0% 0.0% 0.0% 0.2% 0.0%

Rcm business 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Mail2 web 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Airtel 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Others 10% 8% 10% 10% 13% 10%

129

Table 49: Most used website - all websites


Sample Base 1,073 1,044 1,114 689 524 7,045

Google 35% 37% 33% 55% 10% 32%

Yahoo 19% 25% 26% 19% 69% 26%

Rediff 12% 8% 13% 6% 5% 11%

Orkut 4% 6% 4% 4% 5% 6%

Gmail 4% 4% 4% 4% 1% 4%

Hotmail 3% 0.8% 0.8% 0.8% 1% 2%

Indiatimes 0.6% 0.6% 0.5% 0.3% 0.3% 1%

Moneycontrol 0.9% 1% 0.3% 0.1% 0.0% 0.6%

Sify 0.0% 0.5% 0.2% 0.9% 0.0% 0.6%

Icicibank 1% 0.5% 0.1% 0.0% 1% 0.5%

Naukri 0.8% 0.1% 0.6% 0.2% 0.7% 0.5%

Ebay 0.0% 0.5% 1% 0.0% 0.0% 0.4%

MSN 0.2% 0.0% 0.3% 0.5% 0.2% 0.4%

Wikipedia 0.5% 0.2% 0.3% 0.8% 0.2% 0.4%

Icicidirect 0.5% 0.2% 1% 0.0% 0.1% 0.3%

Nseindia 0.1% 0.6% 0.0% 0.0% 0.2% 0.3%

Contest2win 0.2% 0.9% 0.0% 0.0% 0.0% 0.3%

Download 0.6% 0.0% 0.0% 0.5% 0.0% 0.2%

Santabanta 0.0% 0.5% 0.2% 0.0% 0.0% 0.2%

Sharekhan 0.1% 0.4% 0.0% 0.0% 0.0% 0.2%

Youtube 0.3% 0.1% 0.1% 0.3% 0.1% 0.2%

Monster 0.0% 0.1% 0.1% 0.0% 0.4% 0.1%

Raaga 0.1% 0.2% 0.0% 0.0% 0.0% 0.1%

WWE 0.0% 0.2% 0.0% 0.0% 0.0% 0.1%

Bseindia 0.0% 0.2% 0.0% 0.0% 0.0% 0.1%

Espnstar 0.0% 0.1% 0.1% 0.0% 0.0% 0.0%

Timesjob 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Others 17% 12% 16% 7% 5% 13%

130

Table 50: Preferred website for emailing


Sample Base 1,079 1,051 1,123 695 524 7,089

Yahoo 45% 55% 52% 54% 75% 52%

Gmail 24% 24% 20% 27% 8% 22%

Rediff 19% 14% 20% 14% 8% 17%

Hotmail 10% 5% 4% 4% 4% 6%

Indiatimes 0.9% 0.6% 0.8% 0.2% 0.5% 1%

Sify 0.8% 0.9% 1% 0.3% 1% 1%

Sancharnet/BSNL 0.6% 0.4% 0.9% 0.1% 3% 0.7%

VSNL 0.9% 0.2% 0.2% 0.6% 0.6% 0.4%

Lycos 0.1% 0.5% 0.1% 0.1% 0.0% 0.2%

AOL 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Table 51: Multiple user shares of email websites

Multiple User Shares Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,079 1,051 1,123 695 524 7,089

AOL 2% 2% 3% 3% 3% 3%

Gmail 70% 66% 64% 66% 37% 63%

Hotmail 52% 41% 41% 43% 27% 42%

Indiatimes 27% 20% 21% 17% 12% 22%

Lycos 2% 3% 1% 2% 1% 2%

Rediff 59% 65% 66% 61% 47% 61%

Sancharnet/BSNL 9% 6% 11% 7% 10% 8%

Sify 17% 17% 16% 16% 14% 15%

VSNL 5% 6% 4% 7% 5% 6%

Yahoo 90% 91% 90% 92% 95% 90%

Others 4% 6% 4% 4% 3% 5%

131

Table 52: Preferred website for job search


Sample Base 876 902 885 649 497 6,130

Naukri 46% 40% 47% 24% 22% 38%

Monster 30% 29% 23% 16% 25% 26%

Timesjobs 12% 18% 14% 12% 8% 13%

Google 0.8% 5% 2% 31% 5% 6%

Yahoo 0.4% 0.8% 2% 3% 27% 4%

Rediff 0.5% 0.1% 2% 0.7% 2% 2%

Indiatimes 1% 1% 0.4% 1% 2% 2%

Jobsahead 2% 0.2% 1% 2% 0.1% 1%

Freshersworld 0.4% 0.3% 0.9% 1% 2% 1%

Jobs 1% 0.8% 0.7% 0.8% 0.3% 1%

Jobstreet 0.5% 1% 0.6% 0.4% 0.6% 0.9%

Clickjobs 0.7% 0.4% 0.0% 1% 0.1% 0.4%

Jobsearch 0.4% 0.0% 0.8% 0.0% 0.1% 0.4%

Devnetjobs 0.3% 0.0% 0.3% 0.4% 0.3% 0.2%

Jobsindia 0.3% 0.0% 0.2% 0.1% 0.5% 0.2%

Others 4% 3% 6% 6% 6% 5%

132

Table 53: Preferred website for mobile content


Sample Base 638 744 640 612 493 5,216

Yahoo 11% 15% 10% 11% 64% 16%

Rediff 10% 9% 18% 6% 7% 13%

Google 2% 6% 4% 63% 6% 11%

Nokia 10% 8% 15% 3% 3% 8%

Indiatimes 10% 5% 7% 5% 0.9% 7%

Mobile9 5% 5% 2% 1% 2% 4%

Airtel 3% 3% 5% 0.5% 1% 3%

Ringtones 0.7% 4% 1% 0.2% 0.5% 3%

Hutch 4% 3% 3% 2% 0.6% 3%

Funmaza 3% 5% 4% 0.3% 1% 3%

Zedge 3% 2% 2% 0.0% 1% 2%

Mobango 3% 2% 2% 1% 1% 2%

Sify 1% 4% 0.5% 0.0% 1% 2%

Sonyericsson 2% 1% 2% 0.4% 0.1% 1%

Games 1% 0.5% 0.7% 0.4% 0.8% 0.8%

Cooltoad 1% 0.9% 0.2% 0.1% 0.7% 0.7%

Santabanta 0.1% 2% 1% 0.0% 0.0% 0.7%

Motozone 0.7% 0.7% 2% 0.1% 0.0% 0.7%

Download 1% 0.1% 0.5% 0.5% 0.5% 0.6%

Masti4India 1% 1% 0.5% 0.0% 0.0% 0.6%

Mobileringtones 1% 1% 0.7% 0.0% 0.0% 0.6%

R World 0.6% 0.8% 1% 0.3% 0.1% 0.6%

Freeringtones 0.0% 0.6% 2% 0.1% 0.0% 0.5%

Mauj 1% 0.3% 0.2% 0.0% 0.8% 0.5%

Tagtag 0.9% 0.4% 0.4% 0.4% 0.0% 0.5%

Cellebrum 0.8% 0.4% 0.4% 0.0% 0.0% 0.4%

MSN 0.2% 0.0% 0.0% 0.2% 0.3% 0.4%

Papuyaar 0.7% 0.0% 0.9% 0.0% 0.0% 0.4%

Getjar 0.1% 0.5% 0.1% 0.3% 1% 0.4%

Samsungmobile 0.7% 0.5% 0.1% 0.0% 0.0% 0.3%

Zapak 0.2% 0.6% 0.1% 0.1% 0.0% 0.3%

Hungama 0.3% 1% 0.0% 0.0% 0.0% 0.2%

Indiafm 0.4% 0.0% 0.4% 0.0% 0.0% 0.2%

Raaga 0.0% 0.2% 0.3% 0.1% 0.1% 0.2%

Idea 0.0% 0.5% 0.6% 0.0% 0.0% 0.2%

BSNL 0.0% 0.2% 0.3% 0.0% 0.0% 0.2%

Dotsis 0.2% 0.1% 0.5% 0.0% 0.0% 0.1%

Apniisp 0.2% 0.0% 0.0% 0.0% 0.2% 0.1%

Others 20% 17% 12% 5% 6% 13%

133

Table 54: Preferred website for sports


Sample Base 695 765 688 610 487 5,347

Espnstarsports 37% 40% 27% 17% 11% 28%

Yahoo 7% 9% 9% 7% 66% 13%

Cricinfo 13% 12% 17% 4% 2% 11%

Google 3% 4% 3% 55% 3% 10%

Rediff 7% 5% 11% 4% 7% 9%

Sports 8% 3% 4% 2% 1% 5%

Indiatimes 3% 3% 3% 1% 0.7% 3%

NDTV 3% 4% 3% 1% 0.6% 3%

Sify 1% 2% 2% 1% 0.6% 2%

Tensports 2% 2% 2% 0.7% 0.5% 2%

WWE 1% 0.8% 4% 0.6% 0.4% 2%

Cricketnext 2% 2% 0.9% 0.7% 1% 1%

MSN 2% 0.9% 2% 0.5% 0.8% 1%

Timesofindia 1% 0.6% 1% 0.0% 0.0% 0.8%

BBC Sports 1% 0.4% 1% 0.0% 0.3% 0.7%

CNN 0.8% 0.5% 2% 0.1% 0.0% 0.6%

DD Sports 0.0% 0.6% 0.3% 0.2% 0.8% 0.5%

Khel 0.3% 1% 0.6% 0.0% 0.0% 0.4%

Iccworldcup 0.2% 0.9% 0.6% 0.3% 0.4% 0.4%

Cricbuzz 0.4% 0.3% 0.4% 0.3% 0.0% 0.2%

Zeesports 0.2% 0.3% 0.8% 0.0% 0.1% 0.2%

Others 8% 8% 7% 4% 4% 8%

134

Table 55: Preferred website for travel products


Sample Base 1,079 1,051 1,123 695 524 7,089

Makemytrip 100% 0.0% 0.0% 0.0% 0.0% 17%

Yatra 0.0% 100% 0.0% 0.0% 0.0% 16%

IRCTC 0.0% 0.0% 100% 0.0% 0.0% 15%

Google 0.0% 0.0% 0.0% 100% 0.0% 11%

Yahoo 0.0% 0.0% 0.0% 0.0% 100% 8%

Rediff 0.0% 0.0% 0.0% 0.0% 0.0% 5%

Indiatimes 0.0% 0.0% 0.0% 0.0% 0.0% 3%

Travel 0.0% 0.0% 0.0% 0.0% 0.0% 3%

Travelguru 0.0% 0.0% 0.0% 0.0% 0.0% 2%

Cleartrip 0.0% 0.0% 0.0% 0.0% 0.0% 2%

Airdeccan 0.0% 0.0% 0.0% 0.0% 0.0% 2%

Airindia 0.0% 0.0% 0.0% 0.0% 0.0% 0.9%

Travel India 0.0% 0.0% 0.0% 0.0% 0.0% 0.8%

Jetairways 0.0% 0.0% 0.0% 0.0% 0.0% 0.7%

Sify 0.0% 0.0% 0.0% 0.0% 0.0% 0.7%

Rajtravels 0.0% 0.0% 0.0% 0.0% 0.0% 0.7%

MSN 0.0% 0.0% 0.0% 0.0% 0.0% 0.6%

Tours 0.0% 0.0% 0.0% 0.0% 0.0% 0.6%

Goair 0.0% 0.0% 0.0% 0.0% 0.0% 0.4%

Indianairlines 0.0% 0.0% 0.0% 0.0% 0.0% 0.4%

Spicejet 0.0% 0.0% 0.0% 0.0% 0.0% 0.4%

Indiatravels 0.0% 0.0% 0.0% 0.0% 0.0% 0.3%

Incredibleindia 0.0% 0.0% 0.0% 0.0% 0.0% 0.3%

Hotels 0.0% 0.0% 0.0% 0.0% 0.0% 0.3%

Flykingfisher 0.0% 0.0% 0.0% 0.0% 0.0% 0.2%

Travelocity 0.0% 0.0% 0.0% 0.0% 0.0% 0.2%

KSRTC 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Thomascook 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Airsahara 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Sitatours 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Others 0.0% 0.0% 0.0% 0.0% 0.0% 9%

135

Table 56: Preferred website for matrimony


Sample Base 626 718 635 592 467 5,083

Shaadi 37% 37% 28% 13% 13% 28%

Bharatmatrimony 32% 30% 33% 17% 13% 26%

Google 2% 0.8% 0.7% 47% 1% 7%

Yahoo 1% 6% 3% 2% 46% 7%

Jeevansaathi 5% 4% 7% 6% 5% 5%

Matrimony 4% 4% 3% 4% 5% 5%

Rediff 2% 1% 2% 1% 3% 4%

Tamilmatrimony 2% 4% 6% 2% 3% 3%

Simplymarry 8% 3% 4% 0.1% 0.9% 3%

Matrimonial 1% 1% 3% 0.8% 4% 2%

Indiatimes 0.1% 0.5% 0.7% 0.7% 0.6% 1%

Indiamatrimony 0.1% 4% 2% 0.1% 0.0% 1%

Telugumatrimony 0.1% 0.7% 3% 0.5% 0.1% 0.7%

Keralamatrimony 0.5% 0.3% 0.3% 0.1% 0.1% 0.7%

Indianmatrimony 0.3% 0.6% 0.1% 3% 0.0% 0.6%

MSN 0.0% 0.0% 0.0% 0.0% 0.5% 0.6%

Sify 0.0% 0.1% 0.0% 0.3% 0.5% 0.5%

Oriyamatrimony 1% 0.0% 0.7% 0.0% 0.0% 0.3%

Matchmaker 0.0% 0.1% 0.2% 0.3% 0.0% 0.2%

Bengalimatrimony 0.3% 0.3% 0.3% 0.1% 0.0% 0.2%

Agarwal2Agarwal 0.3% 0.0% 0.1% 0.0% 0.0% 0.1%

Punjabmatrimony 0.0% 0.1% 0.0% 0.0% 0.2% 0.1%

Marathimatrimony 0.0% 0.3% 0.0% 0.0% 0.0% 0.1%

Hindimatrimony 0.3% 0.0% 0.1% 0.0% 0.0% 0.1%

Gujuratimatrimony 0.0% 0.0% 0.2% 0.0% 0.0% 0.1%

Sindhimatrimony 0.3% 0.1% 0.0% 0.0% 0.0% 0.0%

Urdumatrimony 0.0% 0.0% 0.0% 0.0% 0.4% 0.0%

Others 1% 2% 4% 2% 3% 4%

136

Table 57: Preferred website for financial news/info


Sample Base 659 734 629 601 478 5,106

Google 4% 6% 5% 77% 5% 15%

Yahoo 6% 13% 5% 3% 77% 13%

Moneycontrol/CNBC 21% 19% 16% 2% 3% 12%

ICICI Direct/ICICI Bank 9% 8% 13% 2% 1% 7%

Rediff 3% 4% 5% 3% 5% 7%

Sharekhan 9% 6% 6% 0.2% 0.1% 4%

Indiatimes 5% 2% 3% 0.5% 2% 4%

NDTV/NDTVprofit 5% 6% 5% 2% 2% 4%

Economictimes 3% 3% 5% 0.5% 0.3% 3%

Stockmarket 7% 4% 1% 0.1% 0.0% 3%

Sify 1% 2% 0.6% 0.2% 0.0% 2%

CNN 0.7% 0.7% 0.5% 0.1% 0.0% 1%

MSN 2% 0.4% 2% 0.3% 1% 1%

Indiabulls 0.9% 0.5% 2% 0.9% 0.1% 1%

NSE 0.5% 2% 3% 0.4% 0.0% 1%

Timesofindia 2% 0.3% 2% 0.0% 0.4% 1%

Business 0.7% 1% 2% 0.1% 0.4% 1%

Financialexpress 1% 3% 1% 0.2% 0.0% 1%

HDFC 0.0% 0.3% 2% 3% 0.0% 0.9%

Financialnews 2% 1% 0.2% 0.0% 0.0% 0.8%

BBC 0.1% 0.5% 0.3% 0.3% 0.0% 0.8%

Zeebusiness 1% 0.5% 2% 0.0% 0.0% 0.7%

Indiainfoline 0.0% 2% 0.5% 0.0% 0.0% 0.5%

Ibnlive 0.4% 0.5% 0.0% 0.6% 0.0% 0.5%

Efinancialnews 0.5% 0.5% 0.4% 0.0% 0.0% 0.5%

Manoramaonline 2% 0.0% 0.0% 0.0% 0.1% 0.4%

Equitymaster 1% 0.0% 0.3% 0.3% 0.0% 0.3%

Kotaksecurities 0.1% 0.2% 0.7% 0.0% 0.0% 0.3%

Valueresearch 0.6% 0.4% 0.0% 0.0% 0.0% 0.3%

Reliancemoney 0.1% 0.2% 0.6% 0.0% 0.0% 0.2%

Karvey 0.1% 0.2% 0.0% 0.0% 0.0% 0.2%

5Paisa 0.2% 0.5% 0.0% 0.0% 0.0% 0.1%

Capitalmarket 0.4% 0.1% 0.3% 0.0% 0.0% 0.1%

Others 12% 13% 16% 4% 2% 13%

137

Table 58: Preferred website for cinema


Sample Base 637 732 615 604 476 5,126

Yahoo 6% 14% 8% 5% 63% 13%

Google 3% 4% 5% 62% 3% 11%

Rediff 2% 3% 7% 1% 3% 6%

PVR Cinemas 11% 4% 6% 5% 2% 5%

Bollywood 4% 4% 6% 5% 3% 5%

Cinema 4% 8% 2% 0.3% 0.3% 4%

Indiafm 6% 7% 6% 1% 0.7% 4%

Movies 9% 4% 2% 1% 2% 4%

Indiatimes 3% 2% 2% 0.1% 2% 3%

Sify 4% 2% 4% 0.4% 0.6% 3%

Santabanta 2% 3% 1% 0.7% 2% 3%

Tamilcinemas 0.6% 3% 4% 2% 0.6% 2%

Funcinemas 2% 2% 2% 0.2% 0.0% 2%

Imdb 0.7% 4% 0.7% 0.1% 0.0% 2%

Idlebrain 2% 0.9% 2% 1% 1% 1%

Zeecinemas 1% 2% 4% 0.3% 0.0% 1%

Indiaglitz 1% 0.6% 3% 1% 0.3% 1%

Inox 3% 2% 2% 0.9% 0.0% 1%

Raaga 0.5% 0.7% 0.3% 1% 2% 1%

Adlabs 3% 1% 0.6% 0.0% 0.4% 1%

Indiancinema 3% 0.9% 2% 0.4% 0.2% 1%

MSN 0.1% 1% 0.3% 0.2% 1% 1%

Youtube 0.7% 0.6% 0.7% 2% 0.0% 1%

Satyamcinema 0.5% 2% 1% 0.6% 0.2% 1%

Cinemax 2% 0.6% 1% 0.7% 0.0% 0.9%

Indya 2% 0.8% 0.9% 0.1% 0.0% 0.8%

Teluguone 0.0% 1% 1% 0.6% 0.8% 0.8%

Thecinema 0.3% 2% 2% 0.0% 0.0% 0.8%

Andhravilas 0.0% 3% 0.7% 0.1% 0.1% 0.7%

Cinesouth 0.1% 2% 0.0% 0.6% 0.7% 0.6%

Hollywood 0.2% 0.5% 0.9% 0.0% 0.3% 0.5%

NDTV 1% 0.0% 1% 0.0% 0.3% 0.5%

Filmfare 0.2% 0.6% 0.6% 0.3% 0.1% 0.4%

Galatta 0.0% 0.5% 1% 0.0% 0.0% 0.4%

Smashits 0.0% 0.2% 1% 0.0% 0.4% 0.4%

Timesofindia 0.4% 0.3% 0.4% 0.1% 0.0% 0.4%

Starmovies 0.0% 0.3% 0.4% 0.0% 2% 0.4%

Chitraloka 0.4% 0.1% 0.0% 0.0% 0.0% 0.4%

Sonypictures 0.4% 0.3% 0.0% 0.0% 0.0% 0.3%

Prasad2 0.5% 0.1% 0.1% 0.1% 0.7% 0.3%

Malayalamcinema 0.2% 0.0% 0.1% 0.4% 0.7% 0.3%

Funmala 0.8% 0.1% 0.1% 0.2% 0.3% 0.3%

Yashrajfilms 0.3% 0.4% 0.0% 0.0% 0.0% 0.2%

Musicindiaonline 0.6% 0.4% 0.0% 0.0% 0.1% 0.2%

Glamsham 0.0% 0.3% 0.4% 0.0% 0.0% 0.2%

Others 19% 13% 18% 6% 8% 15%

138

Table 59: Preferred website for online share/stock trading


Sample Base 236 243 212 42 22 1,108

ICICI Direct 38% 44% 34% 30% 22% 37%

Sherkhan 22% 27% 22% 14% 17% 23%

Indiabulls 7% 6% 6% 17% 4% 7%

Kotaksecurities 2% 3% 3% 0.0% 2% 3%

Geojit 5% 0.4% 6% 0.0% 0.0% 3%

BSE 4% 2% 3% 1% 1% 3%

5Paisa 4% 2% 2% 0.4% 35% 3%

hdfcsec 2% 2% 5% 4% 2% 2%

NSE 1% 1% 4% 0.3% 0.5% 2%

Religare 1% 1% 3% 0.0% 0.0% 2%

Reliancemoney 0.1% 0.9% 2% 0.0% 0.0% 1%

Karvy 0.7% 0.9% 0.1% 0.0% 0.0% 0.6%

Angeltrade 0.1% 0.0% 0.4% 0.0% 0.0% 0.1%

Others 13% 9% 10% 33% 17% 13%

139

Table 60: Preferred website for games


Sample Base 666 739 628 610 484 5,141

Yahoo 18% 15% 18% 10% 68% 20%

Zapak 16% 24% 16% 9% 5% 15%

Google 4% 3% 8% 53% 4% 11%

Games 5% 6% 9% 4% 2% 7%

Rediff 1% 1% 2% 2% 5% 4%

Miniclip 6% 4% 5% 2% 0.9% 4%

Contest2Win 5% 7% 5% 0.6% 0.0% 3%

Indiagames 6% 2% 2% 3% 0.2% 3%

Indiatimes 2% 1% 2% 0.3% 0.7% 2%

MSN 0.6% 3% 1% 1% 1% 2%

Onlinegames 3% 2% 1% 0.8% 0.6% 2%

Download 1% 0.7% 1% 1% 0.8% 1%

Cricinfo 0.9% 2% 2% 0.2% 0.0% 1%

Easports 2% 1% 0.9% 0.4% 0.1% 1%

Sify 0.7% 0.1% 0.9% 0.0% 1% 0.9%

Freeonlinegames 2% 0.9% 0.1% 0.6% 0.3% 0.7%

Freegames 0.0% 0.0% 2% 0.7% 0.0% 0.6%

Gamehouse 3% 0.1% 0.1% 0.1% 0.0% 0.6%

Bigfishgames 1% 1% 0.1% 0.6% 0.0% 0.6%

Funmaza 0.7% 0.2% 0.9% 0.1% 1% 0.5%

Funtoosh 0.0% 2% 1% 0.2% 0.1% 0.5%

Cartoonnetwork 0.2% 0.1% 1% 0.1% 0.6% 0.4%

Realarcade 1% 0.0% 0.0% 0.4% 0.1% 0.4%

Sports 0.4% 0.1% 0.4% 0.6% 0.0% 0.4%

Stickcricket 0.1% 0.6% 0.7% 0.3% 0.0% 0.4%

Hungama 0.5% 0.5% 0.3% 0.0% 0.0% 0.4%

Gamesonline 0.5% 0.4% 0.5% 0.1% 0.6% 0.4%

Games2win 1% 0.5% 0.5% 0.0% 0.2% 0.4%

Santabanta 0.7% 0.6% 0.2% 0.2% 0.2% 0.3%

Playgames 0.4% 0.6% 0.2% 0.0% 0.0% 0.3%

Gamespot 0.1% 0.9% 0.1% 0.0% 0.3% 0.2%

Gamezone 0.3% 0.2% 0.0% 0.2% 0.0% 0.2%

Toondisneyindia 0.3% 0.0% 0.2% 0.2% 0.4% 0.2%

Gamesworld 0.3% 0.0% 0.1% 0.6% 0.0% 0.2%

Arcade 0.0% 0.4% 0.1% 0.0% 0.1% 0.2%

Others 19% 19% 18% 7% 6% 17%

140

Table 61: Preferred website for online shopping


Sample Base 805 827 744 611 487 5,664

Ebay 39% 44% 36% 12% 15% 31%

Rediff 29% 17% 28% 13% 11% 24%

Google 2% 1% 3% 63% 2% 10%

Yahoo 0.5% 7% 3% 2% 63% 9%

Indiatimes 11% 9% 6% 1% 0.9% 7%

Futurebazaar 6% 9% 9% 4% 2% 6%

Shopping 6% 1% 0.9% 0.6% 0.2% 2%

Sify 2% 0.2% 0.9% 2% 1% 2%

Indiaplaza 2% 2% 1% 0.3% 0.1% 1%

Onlineshopping 0.1% 0.8% 1% 0.2% 0.3% 1%

MSN 0.3% 0.2% 0.9% 0.2% 1% 0.9%

Amazon 1% 2% 0.6% 0.1% 0.0% 0.8%

Timesofindia 0.0% 0.1% 0.3% 0.0% 0.0% 0.4%

Others 2% 7% 8% 3% 3% 7%

141

Table 62: Preferred website for online news


Sample Base 809 846 806 620 499 5,766

Yahoo 10% 8% 7% 13% 65% 14%

NDTV 16% 16% 14% 4% 3% 12%

Google 5% 5% 6% 55% 2% 10%

Rediff 9% 11% 9% 5% 6% 10%

Indiatimes 11% 6% 7% 3% 4% 7%

Aajtak 9% 5% 9% 2% 2% 5%

BBC 5% 3% 5% 3% 2% 4%

Timesofindia 6% 5% 2% 2% 0.5% 4%

MSN 2% 6% 4% 1% 2% 3%

CNN 5% 4% 2% 2% 1% 3%

Ibnlive 4% 5% 3% 0.9% 0.0% 3%

Sify 2% 2% 0.9% 0.9% 0.8% 2%

Thehindu 1% 3% 5% 0.1% 0.1% 2%

Manoramaonline 0.4% 2% 1% 0.3% 4% 2%

Eenadu 0.7% 2% 3% 0.4% 1% 2%

Zeenews 1% 2% 3% 0.3% 0.1% 2%

CNBC 0.9% 0.9% 0.9% 1% 0.3% 1%

Jagran 0.8% 0.9% 2% 0.3% 0.1% 0.9%

Hindustantimes 1% 0.3% 2% 0.0% 0.3% 0.8%

DD News 0.4% 0.1% 2% 0.6% 0.4% 0.7%

Starnews 0.8% 0.7% 0.2% 0.4% 0.0% 0.7%

Times 0.1% 0.3% 1% 0.1% 0.7% 0.7%

TV9 2% 2% 0.2% 0.1% 0.0% 0.7%

Moneycontrol 0.3% 2% 2% 0.1% 0.0% 0.6%

Dinamalar 0.1% 0.4% 1% 0.2% 0.0% 0.5%

Economictimes 0.7% 0.4% 0.3% 0.1% 0.0% 0.4%

Midday 0.3% 0.0% 0.2% 0.2% 0.0% 0.3%

Esakal 0.1% 0.3% 0.0% 0.5% 0.0% 0.3%

Hinduonnet 0.0% 0.0% 0.3% 0.3% 0.0% 0.2%

Webduniya 0.1% 0.0% 0.1% 0.0% 0.1% 0.1%

Others 6% 7% 7% 5% 4% 8%

142

Table 63: Preferred website for friendship/dating


Sample Base 619 714 606 588 483 5,020

Orkut 39% 33% 35% 16% 14% 29%

Yahoo 17% 25% 26% 18% 68% 25%

Google 2% 2% 4% 53% 2% 10%

Rediff 6% 7% 6% 4% 4% 8%

Fropper 7% 4% 4% 0.7% 0.9% 3%

Date 5% 2% 2% 0.8% 0.8% 3%

Indiatimes 3% 2% 2% 0.3% 0.0% 2%

Friends 6% 1% 1% 0.0% 0.1% 2%

Friendfinder 0.9% 2% 3% 0.1% 1% 2%

Hi5 5% 4% 0.3% 0.0% 0.7% 2%

Adultfriendfinder 2% 1% 3% 0.8% 0.3% 1%

MSN 0.2% 0.6% 1% 0.2% 1% 1%

Friendship 0.2% 0.4% 0.6% 0.3% 0.0% 1%

Tagged 0.8% 0.5% 1% 0.8% 1% 0.7%

Sify 0.1% 0.0% 0.5% 0.0% 0.4% 0.6%

Batchmates 0.6% 0.3% 0.2% 0.0% 0.0% 0.4%

Match 0.0% 0.1% 0.3% 0.0% 0.0% 0.2%

Friendster 0.3% 0.6% 0.1% 0.3% 0.1% 0.2%

Desimartini 0.4% 0.7% 0.0% 0.0% 0.0% 0.2%

Others 6% 14% 11% 4% 7% 10%

143

Table 64: Preferred website for music


Sample Base 711 774 714 617 496 5,410

Raaga 25% 31% 23% 13% 12% 21%

Yahoo 5% 10% 8% 4% 54% 12%

Google 1% 2% 3% 50% 10% 9%

Music 6% 3% 5% 1% 0.7% 4%

Musicindiaonline 10% 3% 7% 2% 0.5% 4%

Cooltoad 7% 3% 7% 3% 1% 4%

Rediff 1% 1% 4% 2% 2% 4%

Mp3 2% 3% 2% 1% 2% 2%

Tamilsongs 0.6% 4% 4% 2% 0.3% 2%

Youtube 1% 1% 3% 4% 0.1% 2%

Smashits 2% 2% 3% 1% 0.7% 2%

Indiatimes 0.9% 0.5% 0.6% 0.1% 0.0% 1%

Papuyaar 2% 1% 1% 0.1% 1% 1%

Mtv 3% 0.4% 0.8% 0.6% 0.0% 1%

Sify 2% 0.3% 0.4% 0.0% 0.1% 1%

Songs 1% 2% 0.7% 0.5% 0.6% 1%

Emusic 0.5% 5% 0.7% 0.3% 0.0% 1%

Dishant 0.8% 1% 1% 1% 0.2% 1%

Livewire 2% 0.8% 0.2% 0.7% 0.4% 1%

Bollywoodmusic 0.1% 3% 0.9% 0.1% 0.8% 0.9%

Musiconline 0.5% 0.4% 1% 0.3% 0.3% 0.9%

Indiafm 1% 1% 1% 0.7% 0.3% 0.8%

MSN 0.2% 0.0% 0.5% 0.0% 1% 0.7%

Realplayer 1% 0.1% 0.4% 1% 0.0% 0.7%

Okesite 0.3% 0.6% 0.1% 3% 0.4% 0.7%

Apniisp 0.6% 0.5% 1% 0.4% 0.5% 0.6%

Indianmusic 0.7% 0.3% 1% 0.5% 0.0% 0.6%

Pz10 1% 0.9% 0.1% 0.0% 0.0% 0.6%

Funmaza 0.0% 1% 0.4% 0.1% 0.7% 0.6%

Bollyexpress 1% 1% 1% 0.1% 0.3% 0.6%

Bollyfm 0.8% 0.5% 0.8% 0.2% 0.6% 0.5%

Timesmusic 0.5% 0.3% 0.4% 0.0% 0.0% 0.5%

Itunes 0.8% 0.6% 1% 0.0% 0.0% 0.5%

Andhravilas 0.1% 0.4% 0.6% 0.1% 0.1% 0.5%

123music 1% 0.6% 0.2% 0.2% 0.4% 0.5%

Telgusongs 0.1% 0.0% 0.8% 0.2% 0.8% 0.4%

Radiomirchi 0.5% 0.7% 0.0% 0.0% 0.4% 0.4%

Musicmazaa 0.1% 1% 0.2% 0.0% 0.5% 0.4%

Downloads 1% 0.0% 0.2% 0.6% 0.2% 0.4%

Mag4U 1% 0.2% 0.0% 0.2% 0.5% 0.3%

Tamilmp3world 0.3% 0.3% 0.2% 0.1% 0.3% 0.3%

Musicworld 0.2% 0.4% 0.6% 0.0% 0.3% 0.3%

Sonymusic 0.5% 0.1% 0.2% 0.0% 0.0% 0.1%

Desiweb 0.4% 0.2% 0.1% 0.0% 0.0% 0.1%

Desimusic 0.1% 0.0% 0.4% 0.2% 0.0% 0.1%

Others 13% 12% 13% 5% 6% 13%

144

Table 65: Preferred info search engine - local language


Sample Base 395 464 431 525 175 3,038

Google 74% 65% 69% 93% 80% 73%

Manoramaonline 0.0% 3% 0.4% 2% 5% 2%

Guruji 2% 6% 1% 0.0% 0.0% 2%

Kerala 4% 0.3% 0.1% 3% 0.0% 2%

Webduniya 2% 0.3% 3% 0.1% 0.1% 1%

Khoj 0.6% 3% 2% 0.5% 0.2% 1%

MSN 0.0% 0.0% 0.4% 0.0% 0.8% 1%

Eenadu 3% 0.2% 2% 0.0% 0.0% 1%

Webulagam 0.7% 0.9% 0.9% 0.0% 0.2% 0.8%

Chennaionline 0.2% 3% 1% 0.0% 0.0% 0.6%

Jagran 1% 0.4% 1% 0.1% 0.0% 0.5%

Others 12% 19% 18% 2% 13% 15%

Table 66: Preferred website for real estate


Sample Base 578 640 502 568 461 4,538

Google 7% 9% 10% 78% 9% 19%

Yahoo 6% 20% 6% 2% 70% 15%

Magicbricks 23% 19% 15% 3% 3% 13%

99acres 18% 12% 14% 2% 1% 10%

Realestates 8% 9% 13% 2% 2% 10%

Rediff 4% 4% 4% 2% 5% 7%

Indiaproperty 15% 3% 3% 1% 3% 5%

Property 4% 3% 6% 0.6% 0.3% 3%

Indiatimes 2% 0.9% 1% 1% 0.9% 3%

Sify 0.0% 0.8% 1% 0.2% 1% 1%

Sulekha 1% 0.1% 2% 0.4% 0.1% 0.8%

MSN 0.0% 0.0% 0.1% 0.2% 0.5% 0.5%

Manoramaonline 2% 0.1% 0.0% 0.0% 0.3% 0.5%

Realtor 0.0% 0.4% 0.7% 0.0% 0.0% 0.4%

NDTV 0.5% 0.2% 0.9% 0.0% 0.0% 0.4%

Indiabulls 0.3% 0.6% 0.0% 1% 0.0% 0.4%

Chennaionline 0.2% 0.9% 1% 0.0% 0.0% 0.4%

Keralarealestate 0.0% 0.0% 0.0% 0.0% 0.0% 0.2%

Others 9% 18% 20% 5% 4% 12%

145

Table 67: Preferred info search engine - English


Sample Base 782 806 754 611 484 5,509

Google 86% 77% 81% 90% 36% 72%

Yahoo 5% 11% 5% 4% 58% 11%

English 2% 3% 3% 0.0% 1% 3%

Rediff 0.3% 1% 1% 1% 2% 3%

MSN 0.1% 2% 0.9% 0.2% 0.9% 1%

Wikipedia 1% 0.7% 1% 0.5% 0.2% 0.8%

Dictionary 0.5% 1% 1% 0.0% 0.0% 0.7%

Sify 0.2% 0.1% 0.8% 0.0% 0.0% 0.6%

Indiatimes 0.1% 0.3% 0.0% 0.3% 0.0% 0.6%

BBC 0.0% 0.0% 0.0% 3% 0.0% 0.6%

Timesofindia 0.0% 0.1% 0.7% 0.0% 0.0% 0.4%

Altavista 0.2% 0.3% 0.4% 0.2% 0.0% 0.3%

Others 4% 4% 4% 1% 2% 5%

Table 68: Preferred website for instant messaging


Sample Base 798 829 774 633 495 5,670

Yahoo 62% 68% 67% 42% 86% 61%

Google Talk 13% 13% 11% 48% 4% 15%

Rediffbol 6% 8% 13% 5% 4% 10%

MSN 9% 6% 2% 4% 3% 6%

Orkut 2% 1% 2% 1% 0.7% 2%

Meebo 0.9% 3% 1% 0.9% 0.0% 1%

Skype 1% 0.4% 0.8% 0.0% 0.0% 0.8%

Indiatimes 0.2% 0.2% 0.2% 0.1% 0.4% 0.6%

AIM 0.7% 0.1% 0.0% 0.0% 0.0% 0.4%

Others 5% 1% 3% 0.5% 0.9% 3%

146

Table 69: Preferred website for social networking/communities


Sample Base 558 594 492 564 424 3,921

Yahoo 12% 18% 11% 7% 73% 18%

Tagged 0.5% 0.1% 0.0% 0.0% 0.8% 0.4%

Ryze 0.6% 0.0% 0.2% 0.0% 0.0% 0.3%

Orkut 61% 60% 61% 89% 21% 58%

Myspace 0.1% 0.4% 0.2% 0.7% 0.0% 0.7%

MSN 3% 0.7% 1% 0.6% 0.9% 2%

Linkedin 0.4% 1% 0.1% 0.0% 0.0% 0.4%

Hi5 1% 0.5% 1% 0.0% 1% 0.8%

Fropper 0.7% 0.3% 0.1% 0.0% 0.0% 0.4%

Friends 6% 1% 2% 0.0% 0.0% 2%

Communities 2% 0.8% 0.6% 0.0% 0.0% 1%

Bharatstudent 0.1% 0.3% 0.6% 0.0% 0.0% 0.3%

Others 13% 16% 21% 2% 3% 16%

147

Table 70: Preferred website for astrology


Sample Base 594 660 555 595 483 4,863

Yahoo 17% 30% 17% 12% 75% 22%

Astrology 18% 17% 22% 11% 3% 18%

Google 4% 7% 8% 62% 4% 13%

Rediff 11% 7% 11% 4% 5% 10%

Indiatimes astrospeak 9% 9% 7% 3% 1% 8%

Sify 2% 2% 3% 2% 1% 3%

Sarafreder 8% 3% 0.8% 0.9% 0.5% 3%

MSN 2% 2% 2% 1% 2% 2%

Astrolife 4% 4% 2% 0.1% 0.6% 2%

Horoscope 0.7% 3% 2% 0.4% 0.0% 1%

Astrogyan 3% 0.0% 2% 0.2% 0.0% 0.9%

Indianastrology 1% 2% 1% 0.0% 0.0% 0.8%

Ivillage 1% 0.0% 0.4% 0.3% 2% 0.7%

Timesofindia 0.8% 0.4% 0.6% 0.4% 0.0% 0.6%

Bejandaruwalla 1% 0.2% 1% 0.1% 0.1% 0.6%

Astroyogi 2% 0.9% 1% 0.4% 0.0% 0.6%

Webduniya 0.5% 0.5% 1% 0.0% 0.2% 0.5%

Santabanta 0.2% 2% 0.4% 0.0% 0.9% 0.5%

Manoramaonline 2% 0.0% 0.1% 0.0% 0.1% 0.5%

Astrologyzone 0.1% 0.4% 0.3% 0.0% 0.0% 0.5%

Astrocenter 1% 0.0% 1% 0.7% 0.0% 0.5%

Webulagam 0.0% 0.0% 2% 0.0% 0.4% 0.4%

Paramdhaam 0.1% 1% 1% 0.0% 0.0% 0.4%

Indya 0.9% 0.5% 0.0% 0.0% 0.0% 0.4%

Cyberastro 1% 0.5% 0.6% 0.0% 0.0% 0.4%

Tarot 0.4% 0.7% 0.5% 0.1% 0.4% 0.3%

Kundli 0.3% 1% 0.3% 0.0% 0.0% 0.3%

Ganeshaspeaks 0.0% 0.1% 0.0% 0.4% 0.7% 0.3%

Astroindia 0.1% 0.3% 1% 0.0% 0.0% 0.3%

Jagran 0.1% 0.1% 0.7% 0.1% 0.0% 0.2%

Astroworld 0.7% 0.0% 0.0% 0.0% 0.2% 0.2%

Others 9% 7% 11% 2% 3% 8%

148

Table 71: Preferred website for online learning/education


Sample Base 564 648 588 619 476 4,764

Google 29% 25% 33% 83% 20% 34%

Yahoo 5% 14% 4% 3% 61% 12%

Rediff 3% 2% 4% 1% 2% 5%

Wikipedia 7% 6% 5% 2% 0.5% 4%

Education 4% 5% 2% 0.2% 0.3% 4%

Indiatimes 1% 1% 1% 0.0% 2% 2%

IGNOU 2% 1% 3% 0.4% 0.1% 2%

W3schools 2% 4% 1% 0.4% 0.1% 1%

MSN 1% 0.7% 0.2% 0.2% 0.8% 1%

Ebizel 1% 2% 2% 0.7% 0.6% 1%

CBSE 6% 1% 0.4% 0.1% 0.6% 1%

Onlinelearning 1% 0.1% 0.6% 0.0% 0.8% 1%

Onlineeducation 0.0% 0.7% 1% 0.0% 0.0% 1%

ICFAI 2% 0.4% 2% 0.8% 0.0% 1%

Annauniversity 0.3% 0.4% 5% 0.1% 0.8% 0.9%

Microsoft 2% 0.7% 0.9% 0.2% 0.0% 0.7%

Howstuffworks 0.1% 0.2% 2% 0.8% 0.4% 0.6%

Pubmed 0.7% 0.1% 0.0% 0.2% 1% 0.5%

Learning 0.3% 0.3% 0.1% 0.0% 0.0% 0.5%

ICAI 0.5% 1% 0.0% 0.0% 0.0% 0.5%

Gurukul 0.4% 0.5% 0.1% 0.0% 0.0% 0.5%

Dewsoftoverseas 0.4% 0.3% 0.6% 0.2% 0.0% 0.4%

Britishcouncil 0.5% 0.3% 0.9% 0.0% 0.3% 0.4%

BBC 0.5% 0.1% 0.0% 0.0% 0.0% 0.4%

Answers 0.3% 2% 0.0% 0.0% 0.0% 0.4%

Symbiosis 0.1% 1% 0.5% 0.1% 0.0% 0.3%

Freshersworld 0.1% 0.1% 0.3% 0.2% 0.0% 0.3%

English 0.1% 0.3% 0.3% 0.1% 0.1% 0.3%

Worldwidelearn 0.5% 0.3% 0.0% 0.0% 0.0% 0.2%

NCERT 0.1% 0.4% 0.7% 0.3% 0.0% 0.2%

Mit.edu 0.3% 0.3% 0.0% 0.0% 0.0% 0.2%

Goiit 0.1% 0.1% 0.1% 0.0% 0.0% 0.1%

Others 28% 28% 29% 5% 9% 23%

149

Table 72: Preferred blog sites

Blog Sites Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 209 181 171 128 103 1,331

Google 16% 18% 11% 59% 10% 22%

Yahoo 17% 17% 10% 11% 62% 19%

Blogspot 14% 16% 17% 2% 6% 10%

Blogger 21% 10% 17% 1% 2% 10%

Rediff 6% 5% 17% 9% 4% 10%

Ibibo 11% 9% 16% 2% 4% 9%

Tagged 0.0% 17% 0.0% 0.2% 0.9% 3%

Hi5 1% 2% 0.1% 0.1% 4% 2%

Indiatimes 0.1% 2% 0.6% 2% 2% 2%

Youtube 0.9% 0.9% 0.2% 9% 2% 2%

Debonairblog 1% 0.5% 3% 2% 0.0% 2%

Mylot 3% 0.1% 0.0% 1% 0.0% 2%

Mouthshut 4% 0.0% 4% 0.0% 0.0% 1%

MSN 0.9% 0.2% 0.2% 0.9% 2% 1%

Sulekha 1% 0.0% 0.1% 0.1% 0.0% 0.6%

Myspace 0.0% 0.0% 1% 1% 0.0% 0.5%

TimesofIndia 0.0% 0.0% 2% 0.0% 0.0% 0.5%

Fropper 0.4% 0.7% 0.0% 0.0% 0.1% 0.3%

Monster 0.0% 2% 0.0% 0.0% 0.2% 0.3%

Others 2% 1% 2% 0.1% 2% 2%

150

Table 73: Language preferred for local language content

Language Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 91 121 156 84 65 844

Hindi 21% 24% 23% 15% 20% 20%

Tamil 13% 25% 21% 12% 5% 17%

Malayalam 10% 7% 10% 25% 15% 15%

Telugu 14% 17% 15% 22% 7% 14%

Marathi 10% 12% 10% 12% 5% 10%

Kannada 3% 3% 10% 4% 18% 7%

Bengali 12% 6% 5% 2% 12% 6%

Gujarati 6% 4% 2% 0.9% 10% 4%

Konkani 10% 0.0% 0.0% 0.0% 0.0% 1%

Oriya 2% 0.0% 2% 0.0% 0.9% 0.8%

Urdu 0.0% 0.0% 1% 2% 0.0% 0.8%

Punjabi 0.0% 0.0% 0.0% 0.0% 0.7% 0.6%

Bhojpuri 0.8% 0.0% 0.8% 0.0% 0.0% 0.2%

Tulu 0.0% 0.0% 0.0% 0.0% 0.0% 0.2%

Assamese 0.0% 0.0% 0.0% 0.4% 0.0% 0.1%

Awadhi 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Kanauji 0.0% 0.0% 0.5% 0.0% 0.0% 0.1%

Maithili 0.0% 0.0% 0.0% 0.6% 0.8% 0.1%

Manipuri 0.0% 0.0% 0.0% 0.0% 1% 0.1%

Marwari 0.0% 0.0% 0.3% 0.0% 0.0% 0.1%

Sanskrit 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Santhali 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Bodo 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Bundeli 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Haryanvi 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Kashmiri 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Others 0.0% 2% 1% 3% 6% 3%

151

Table 74: Preferred website for checking local language content


Sample Base 91 121 156 84 65 844

Google 4% 10% 6% 49% 8% 14%

Yahoo 5% 5% 0.3% 5% 56% 9%

Malayalamanorama 0.7% 3% 5% 1% 9% 8%

Eeandu 15% 8% 10% 1% 2% 7%

Webduniya 2% 7% 11% 0.4% 0.3% 4%

Keralakaumudi 0.0% 0.0% 0.0% 23% 0.0% 4%

Marathiworld 5% 2% 2% 3% 0.8% 3%

Thinamalar 12% 2% 4% 5% 2% 3%

Webulagam 2% 5% 0.7% 2% 2% 3%

Jagran 7% 6% 4% 0.3% 0.0% 3%

Esakal 0.0% 5% 4% 3% 0.0% 3%

Rediff 2% 0.4% 3% 0.5% 0.8% 2%

Dainikjagran 2% 2% 2% 3% 0.6% 2%

Tamilcinema 0.2% 2% 3% 0.0% 0.0% 2%

Kumudam 0.0% 3% 6% 0.0% 0.0% 2%

Banglalive 2% 0.5% 1% 0.2% 3% 1%

Kannadaaudio 0.0% 0.2% 0.0% 0.4% 0.0% 1%

Deepika 0.0% 0.0% 4% 0.0% 0.0% 1%

Anandabazaar 4% 1% 0.9% 0.1% 2% 0.9%

Gujratsamachar 2% 0.2% 1% 0.2% 0.0% 0.9%

Vaartha 0.1% 0.2% 4% 0.4% 0.3% 0.9%

Epatra 0.2% 4% 0.0% 0.3% 2% 0.8%

Dailythanthi 0.0% 0.0% 2% 0.9% 0.0% 0.7%

Sakal 0.0% 0.0% 2% 0.2% 0.0% 0.7%

Thatskannada 0.0% 0.0% 0.2% 0.0% 0.0% 0.7%

Amarujala 0.6% 0.0% 2% 0.0% 0.0% 0.6%

Bhaskar 0.8% 1% 0.3% 0.0% 0.4% 0.6%

bbchindi 0.0% 0.3% 0.3% 0.0% 0.2% 0.5%

Matrubhumi 2% 0.0% 0.0% 0.0% 0.0% 0.3%

Maharashtratimes 0.3% 0.0% 0.0% 0.2% 0.0% 0.3%

Dinakaran 0.0% 0.0% 0.4% 0.4% 0.0% 0.2%

Others 29% 32% 22% 2% 11% 20%

152

Table 75: Response to online marketing stimulus

Marketing Stimulus Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 952 883 959 540 388 5,855

Clicked a sponsored search ad 48% 46% 38% 36% 34% 41%

Clicked a banner ad 54% 54% 49% 47% 45% 50%

Clicked a product/service e-mailer 22% 18% 18% 16% 15% 18%

Participated in an online contest 55% 51% 50% 42% 40% 48%

Bid/Bought in an Online auction 33% 30% 25% 23% 25% 28%

Bought in a special promotion / deal 28% 27% 22% 28% 23% 26%

None of the above 17% 22% 21% 23% 34% 23%

153

Table 76: Most preferred TV channel

TV Channel Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 974 950 1,032 617 465 6,398

Star Plus 17% 9% 9% 8% 23% 13%

Discovery 11% 8% 7% 7% 5% 7%

NDTV 5% 5% 9% 2% 2% 5%

Aajtak 3% 5% 10% 3% 2% 5%

HBO 5% 4% 5% 7% 3% 5%

Sun TV 2% 5% 7% 5% 3% 4%

Sony 5% 4% 3% 4% 4% 4%

Zee TV 4% 3% 3% 3% 3% 3%

Star Movies 3% 5% 2% 2% 4% 3%

CNBC 6% 4% 3% 1% 0.7% 3%

M TV 2% 4% 2% 6% 4% 3%

Star One 3% 4% 3% 1% 3% 3%

Ten Sports 1% 3% 3% 3% 4% 3%

ESPN 2% 3% 0.7% 5% 3% 2%

CNN IBN 3% 3% 4% 2% 0.9% 2%

National Geographic 2% 2% 2% 2% 2% 2%

Star World 3% 2% 0.9% 0.5% 2% 2%

Asianet 2% 0.4% 1% 3% 2% 1%

E TV 0.6% 2% 0.6% 1% 2% 1%

TV 9 0.2% 0.9% 2% 2% 2% 1%

Sab TV 2% 2% 1% 0.4% 1% 1%

Gemini 0.7% 0.9% 0.8% 1% 2% 1%

Star News 1% 0.8% 0.8% 0.7% 0.2% 1%

AXN 1% 2% 0.6% 0.6% 0.3% 0.9%

DD 1 0.0% 0.5% 1% 1% 2% 0.9%

Pogo 0.7% 1% 1% 1% 0.6% 0.9%

Cartoon Network 0.2% 0.6% 0.4% 2% 1% 0.8%

Sun Music 0.0% 2% 0.5% 2% 0.8% 0.8%

Travel & Living 1% 1% 0.0% 1% 0.0% 0.8%

BBC 1% 0.5% 0.2% 0.7% 1% 0.7%

Star Sports 0.4% 0.5% 0.4% 0.4% 2% 0.7%

Vijaya TV 0.1% 1% 1% 0.2% 0.9% 0.7%

Zee Cinema 0.4% 0.1% 0.1% 1% 1% 0.7%

Animal Planet 1% 0.3% 0.6% 0.3% 0.5% 0.6%

F TV 0.2% 0.3% 0.3% 0.6% 1% 0.6%

History Channel 1% 0.7% 0.3% 0.1% 0.5% 0.6%

India TV 0.7% 0.6% 0.9% 0.2% 0.5% 0.6%

Set Max 0.9% 0.2% 0.5% 1% 0.5% 0.6%

Surya TV 0.1% 0.0% 3% 0.0% 0.0% 0.6%

Zee Music 0.0% 0.3% 0.6% 2% 0.1% 0.6%

Kairali TV 0.0% 0.5% 0.0% 3% 0.0% 0.5%

Sahara One 0.0% 1% 0.6% 0.0% 1% 0.5%

Zoom 0.4% 0.6% 0.5% 0.5% 0.5% 0.5%

NDTV Profit 0.8% 1% 0.2% 0.0% 0.0% 0.5%

Any Music Channel 0.3% 0.1% 0.1% 1% 0.0% 0.4%

Any Sports Channel 0.0% 0.4% 0.6% 0.5% 0.0% 0.4%

Dd News 0.0% 0.0% 0.1% 0.0% 1% 0.4%

154

Disney Channel 0.6% 0.3% 0.3% 0.1% 0.2% 0.4%

Etv Kannada 0.2% 0.6% 0.2% 0.0% 0.8% 0.4%

V Channel 0.4% 0.0% 0.4% 0.6% 0.1% 0.4%

NDTV24*7 0.8% 0.4% 0.2% 0.3% 0.0% 0.4%

Times Now 1% 0.3% 0.6% 0.3% 0.2% 0.4%

Aawaz 0.2% 0.8% 0.1% 0.3% 0.3% 0.3%

Any News Channel 0.2% 0.0% 0.6% 0.1% 0.4% 0.3%

SS Music 0.1% 0.1% 0.1% 0.6% 0.4% 0.3%

Udaya TV 0.0% 0.0% 0.4% 0.0% 0.1% 0.3%

Vh1 0.5% 0.2% 0.0% 0.6% 0.4% 0.3%

Zee Marathi 0.4% 0.1% 0.3% 0.5% 0.5% 0.3%

Zee News 0.2% 0.1% 0.2% 0.2% 1% 0.3%

Ibnlive 0.6% 0.8% 0.1% 0.0% 0.1% 0.3%

ETC 0.0% 0.0% 0.1% 1% 0.0% 0.2%

Etv Marathi 0.1% 0.0% 0.3% 0.0% 0.0% 0.2%

Headlines Today 0.3% 0.1% 0.2% 0.1% 0.0% 0.2%

Maa TV 0.1% 0.1% 0.3% 0.1% 0.0% 0.2%

Star Anand 0.0% 0.3% 0.7% 0.1% 0.0% 0.2%

Jetix 0.0% 0.2% 0.7% 0.0% 0.3% 0.2%

Any Movie Channel 0.0% 0.0% 0.1% 0.4% 0.0% 0.1%

B4U 0.0% 0.2% 0.0% 0.0% 0.0% 0.1%

Etv Bangla 0.0% 0.1% 0.1% 0.0% 0.0% 0.1%

God 0.1% 0.0% 0.2% 0.0% 0.0% 0.1%

Raj TV 0.0% 0.0% 0.0% 0.8% 0.0% 0.1%

Sahara TV 0.4% 0.0% 0.0% 0.0% 0.0% 0.1%

Star Gold 0.2% 0.3% 0.1% 0.0% 0.2% 0.1%

Teja TV 0.0% 0.0% 0.3% 0.1% 0.0% 0.1%

Zee Business 0.0% 0.1% 0.3% 0.0% 0.4% 0.1%

Zee Café 0.1% 0.0% 0.2% 0.0% 0.0% 0.1%

Star Utsav 0.0% 0.2% 0.0% 0.2% 0.0% 0.1%

MH1 0.1% 0.0% 0.2% 0.0% 0.4% 0.1%

India Vision 0.0% 0.0% 0.0% 1% 0.0% 0.1%

Hall Mark 0.0% 0.0% 0.0% 0.4% 0.0% 0.1%

Local 0.0% 0.2% 0.0% 0.0% 0.0% 0.1%

Kiran TV 0.0% 0.0% 0.0% 0.0% 1% 0.1%

Aditya 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Alfa Marathi 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Animax 0.2% 0.0% 0.0% 0.0% 0.0% 0.0%

Astha 0.0% 0.0% 0.0% 0.1% 0.0% 0.0%

Jaya TV 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

K TV 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Sanskar 0.0% 0.1% 0.1% 0.0% 0.0% 0.0%

Zee English 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Zee Studio 0.0% 0.0% 0.1% 0.0% 0.0% 0.0%

All Telugu 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Hungama TV 0.0% 0.0% 0.0% 0.2% 0.0% 0.0%

Nick 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Sahara Samay 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Smile TV 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Zee Bangla 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

155

Akasha Bangla 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Peace TV 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Zee Primier 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Set Pix 0.0% 0.0% 0.0% 0.0% 0.4% 0.0%

Win Cable 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Others 2% 1% 0.8% 2% 0.2% 1%

156

Table 77: Most preferred newspaper

Newspaper Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 986 943 1,043 623 467 6,406

The Times of India 46% 34% 34% 32% 31% 37%

The Hindu 14% 25% 18% 23% 14% 18%

The Hindustan Times 7% 5% 5% 7% 9% 6%

Deccan Chronicle 3% 4% 2% 8% 5% 4%

Indian Express 2% 4% 4% 0.8% 3% 3%

The Telegraph 5% 4% 2% 2% 2% 3%

Eenadu 1% 3% 3% 2% 1% 3%

The Economic Times 3% 2% 3% 2% 0.9% 3%

Dainik Bhaskar 1% 3% 4% 1% 3% 2%

Dainik Jagran 0.7% 3% 3% 0.3% 2% 2%

Malyalam Manorama 2% 0.8% 1% 2% 4% 2%

The Tribune 2% 2% 0.6% 2% 1% 2%

Mid Day 2% 0.7% 1% 2% 2% 2%

DNA 1% 0.6% 0.6% 1% 3% 1%

Deccan Herald 1% 1% 1% 0.3% 3% 1%

Gujrat Samachar 0.4% 0.8% 0.7% 0.9% 2% 1%

Mumbai Mirror 0.7% 1% 1% 0.7% 0.8% 1%

Vijay Karnataka 0.6% 0.3% 0.5% 0.1% 2% 1%

Anand Bazar Patrika 0.3% 1% 1% 0.5% 0.3% 0.7%

Divya Bhaskar 1% 0.4% 0.8% 0.0% 0.0% 0.6%

Lokmat 0.2% 0.4% 0.1% 0.4% 3% 0.6%

Dinamalar 0.3% 0.2% 1% 0.6% 1% 0.5%

Mathrubhumi 0.6% 0.0% 0.1% 1% 1% 0.5%

Sakal 0.4% 0.5% 0.5% 0.1% 1% 0.5%

Amar Ujala 0.2% 0.1% 0.5% 0.4% 0.3% 0.4%

Daily Thanthi 0.1% 0.3% 0.9% 0.4% 0.9% 0.4%

Loksatta 0.1% 0.3% 0.2% 0.2% 0.6% 0.4%

Rajasthan Patrika 0.1% 0.5% 0.5% 0.0% 0.6% 0.4%

Dinakaran 0.0% 0.3% 0.7% 0.1% 0.3% 0.3%

Nav Bharat Times 0.2% 0.0% 0.6% 0.3% 0.1% 0.3%

Sandesh 0.2% 0.5% 0.7% 0.0% 0.0% 0.3%

The Statesman 0.3% 0.0% 0.7% 0.5% 0.2% 0.3%

Nai Dunia 0.0% 0.0% 0.7% 0.0% 0.0% 0.3%

Kerala Kaumudi 0.0% 0.0% 0.0% 3% 0.0% 0.3%

Business Standard 0.0% 0.1% 0.4% 0.0% 0.0% 0.2%

Gulf News 0.0% 0.0% 0.0% 2% 0.1% 0.2%

Hitvada 0.0% 0.0% 0.2% 0.4% 0.4% 0.2%

Maharashtra Times 0.4% 0.0% 0.2% 0.4% 0.1% 0.2%

Punjab Kesari 0.1% 0.5% 0.0% 0.2% 0.0% 0.2%

Samaj 0.0% 0.0% 0.2% 0.0% 0.0% 0.2%

Vartha 0.0% 0.2% 0.4% 0.1% 0.0% 0.2%

Andhra Jyoti 0.0% 0.0% 0.0% 0.6% 0.4% 0.1%

Asian Age 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Business Line 0.0% 0.3% 0.1% 0.1% 0.0% 0.1%

Dharitri 0.0% 0.0% 0.0% 0.6% 0.0% 0.1%

Dinamani 0.0% 0.1% 0.0% 0.0% 0.0% 0.1%

Prabhat Khabar 0.4% 0.0% 0.0% 0.0% 0.3% 0.1%

157

Prajavani 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

Kannada praba 0.0% 0.1% 0.2% 0.0% 0.0% 0.1%

Udayavani 0.2% 0.0% 0.0% 0.1% 0.0% 0.1%

Nav Hindi Times 0.1% 0.0% 0.2% 0.3% 0.0% 0.1%

Pratidin (Local) 0.0% 0.0% 0.7% 0.0% 0.0% 0.1%

Bangalore Times 0.4% 0.0% 0.0% 0.0% 0.0% 0.1%

Vijaya Times 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%

Mint 0.0% 0.0% 0.2% 0.0% 0.0% 0.1%

Employment News 0.0% 0.0% 0.0% 0.1% 0.0% 0.0%

Financial Express 0.0% 0.0% 0.0% 0.1% 0.0% 0.0%

Free Press Journal 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Jansatta 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Madhyamum 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Mumbai Samachar 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Pudhari 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Rashtriya Sahara 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Saamna 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Sambad 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Sanmarg 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Siasat 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

The Pioneer 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Vartaman 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Tarun Bharat (Marathi) 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

india Today 0.0% 0.0% 0.0% 0.1% 0.0% 0.0%

Janshakti 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Aaj Kal 0.0% 0.0% 0.0% 0.2% 0.0% 0.0%

Inquilab 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Greater Kashmir 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Sambad 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Others 0.5% 0.6% 0.3% 0.7% 2% 0.6%

158

Table 78: Most preferred magazine

Magazine Makemytrip Yatra IRCTC Google Yahoo All travel users Sample Base 885 850 910 516 402 5,664 India Today 22% 23% 34% 19% 20% 26% Reader's Digest 7% 7% 6% 5% 7% 6% The Week 5% 8% 6% 9% 5% 6% Sports Star 2% 6% 4% 6% 2% 4% Outlook 7% 3% 4% 2% 1% 4% Femina 6% 4% 1% 3% 5% 4% Business World 3% 5% 5% 0.6% 1% 3% Digit 2% 5% 2% 0.8% 0.9% 2% Film Fare 3% 2% 1% 2% 4% 2% Star Dust 0.9% 2% 1% 2% 11% 2% Women's Era 3% 0.9% 0.9% 2% 1% 2% Business Today 3% 2% 2% 1% 0.4% 2% Autocar India 1% 2% 0.6% 3% 1% 2% Chip 2% 2% 0.5% 2% 3% 2% Swathi 0.6% 0.9% 2% 0.8% 1% 2% Ananda Vikatan 0.2% 1% 4% 0.4% 0.8% 1% Electronics For You 1% 0.5% 1% 1% 0.3% 1% Wisdom 4% 0.0% 0.0% 0.6% 1% 1% Cosmopolitan 2% 0.7% 0.6% 0.6% 0.0% 1% Time 1% 0.7% 0.2% 3% 0.1% 1% Business India 0.4% 3% 0.9% 0.0% 0.8% 0.9% Chitralekha 1% 2% 1% 1% 0.1% 0.9% Business & Economy 0.6% 0.9% 0.5% 0.9% 1% 0.8% India Times 0.8% 0.7% 0.7% 1% 1% 0.8% Vanita 0.0% 0.2% 0.9% 1% 4% 0.8% Competition Success Review 1% 0.5% 1% 1% 0.4% 0.7% Computers Today 0.9% 0.3% 0.6% 1% 0.9% 0.7% Fortune India 0.9% 1% 0.5% 0.5% 0.8% 0.7% Grihshobha 0.1% 0.2% 0.7% 0.4% 1% 0.7% National Geographic 0.8% 0.5% 0.4% 1% 0.1% 0.7% Overdrive 0.8% 1% 0.4% 0.8% 0.1% 0.7% Science Reporter 0.2% 0.6% 0.7% 2% 2% 0.7% PC Quest 1% 0.3% 0.7% 0.4% 0.0% 0.6% Business Week 1% 0.4% 0.1% 1% 0.0% 0.5% Dalal Street 0.6% 1% 0.4% 0.0% 0.3% 0.5% Kumudham 0.0% 0.7% 1% 0.5% 0.9% 0.5% Gladrags 1% 0.2% 0.0% 0.4% 0.0% 0.4% Health 0.5% 0.3% 0.0% 0.9% 0.0% 0.4% Playboy 0.0% 0.0% 0.7% 0.0% 0.1% 0.4% Today 0.0% 0.1% 0.2% 0.6% 3% 0.4% Brunch 0.3% 0.7% 0.1% 0.1% 0.2% 0.3% Cricket Samrat 0.7% 0.2% 0.2% 0.2% 0.4% 0.3% Good House Keeping 0.6% 0.0% 0.0% 0.4% 0.0% 0.3% Inside Outside 0.0% 0.2% 0.0% 2% 0.0% 0.3% Meri Saheli 0.0% 0.2% 0.4% 0.8% 0.8% 0.3% Outlook Money 0.7% 0.5% 0.3% 0.0% 0.2% 0.3% PC World 0.1% 0.3% 0.0% 1% 0.0% 0.3% Aha Zindagi 0.0% 0.3% 0.5% 0.4% 0.0% 0.2% Anandamela 0.0% 0.5% 0.8% 0.1% 0.2% 0.2% Aval Vikatan 0.2% 0.0% 0.1% 0.0% 0.0% 0.2% Chronicle 0.0% 0.1% 0.4% 0.0% 0.0% 0.2% Cineblitz 0.1% 0.0% 0.0% 0.8% 0.0% 0.2% Data Quest 0.3% 0.0% 0.3% 0.0% 0.0% 0.2% Desh 0.0% 0.0% 0.6% 0.0% 0.0% 0.2% Junior Vikatan 0.0% 0.1% 0.1% 1% 0.1% 0.2% Manorama 0.2% 0.3% 0.1% 0.5% 0.8% 0.2% Maxim 0.4% 0.7% 0.1% 0.0% 0.0% 0.2% Sananda 0.3% 0.4% 0.0% 0.0% 0.5% 0.2% Sarita 0.1% 0.2% 0.0% 0.0% 1% 0.2%

Sudha 0.2% 0.5% 0.1% 0.0% 0.1% 0.2%

159

Abhiyan 0.0% 0.0% 0.0% 0.0% 0.3% 0.1% Anandalok 0.0% 0.0% 0.0% 0.0% 0.1% 0.1% Auto India 0.0% 0.0% 0.1% 0.0% 0.1% 0.1% Buzz 0.2% 0.0% 0.0% 0.1% 0.0% 0.1% Capital Market 0.0% 0.3% 0.4% 0.3% 0.1% 0.1% Champak 0.1% 0.2% 0.0% 0.0% 0.5% 0.1% Debonair 0.0% 0.1% 0.4% 0.1% 0.0% 0.1% Deccan Chronicle 0.0% 0.0% 0.0% 1% 0.0% 0.1% Developer IQ 0.0% 0.4% 0.0% 0.0% 0.0% 0.1% Elle 0.0% 0.2% 0.0% 0.0% 0.0% 0.1% Frontline 0.0% 0.0% 0.0% 0.3% 0.1% 0.1% Grihlakshmi 0.0% 0.0% 0.4% 0.1% 0.0% 0.1% Linux For You 0.1% 0.2% 0.0% 0.0% 0.0% 0.1% Lokprabha 0.1% 0.0% 0.0% 0.0% 0.5% 0.1% Safari 0.0% 0.1% 0.1% 0.0% 0.0% 0.1% Saras Salil 0.2% 0.0% 0.0% 0.0% 0.4% 0.1% Savvy 0.3% 0.3% 0.0% 0.0% 0.0% 0.1% Taranga 0.0% 0.0% 0.0% 0.0% 0.0% 0.1% The Economist 0.2% 0.0% 0.0% 0.1% 0.0% 0.1% Graphiti 0.0% 0.6% 0.0% 0.1% 0.2% 0.1% Living Digital 0.3% 0.2% 0.0% 0.0% 0.0% 0.1% Money life 0.5% 0.0% 0.0% 0.0% 0.0% 0.1% Animation Reporter 0.1% 0.0% 0.1% 0.4% 0.0% 0.1% Andra Jyoti 0.0% 0.0% 0.0% 0.0% 0.5% 0.1% Automobiles 0.2% 0.2% 0.0% 0.0% 0.0% 0.1% Auto World 0.2% 0.0% 0.0% 0.0% 0.0% 0.1% Bikes 0.1% 0.0% 0.2% 0.7% 0.0% 0.1% Business Standard 0.0% 0.3% 0.0% 0.4% 0.0% 0.1% Better Photography 0.1% 0.0% 0.0% 0.0% 0.0% 0.0% Business Times 0.1% 0.0% 0.0% 0.0% 0.0% 0.0% Kadambini 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Mathrubhumi 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Outlook Traveller 0.1% 0.0% 0.0% 0.0% 0.0% 0.0% Pratiyogita Darpan 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Saptahik Sakal 0.0% 0.0% 0.2% 0.0% 0.0% 0.0% Society 0.0% 0.0% 0.0% 0.2% 0.0% 0.0% Top Gear 0.1% 0.0% 0.0% 0.0% 0.0% 0.0% Saheli 0.0% 0.2% 0.0% 0.0% 0.0% 0.0% Saptahik Bartaman 0.0% 0.0% 0.0% 0.0% 0.1% 0.0% Sakhi 0.0% 0.0% 0.2% 0.0% 0.0% 0.0% Mans World 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Nirogadhaam 0.2% 0.0% 0.1% 0.0% 0.0% 0.0% Chandamama 0.0% 0.1% 0.0% 0.0% 0.2% 0.0% Kurukshetra 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% Economical Times 0.1% 0.0% 0.0% 0.0% 0.0% 0.0% Others 4% 5% 5% 9% 9% 7%

160

Table 79: Most preferred radio channel

Radio Channel Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 732 708 687 404 307 4,458

Radio Mirchi 37% 46% 40% 28% 26% 38%

Red FM 13% 13% 11% 15% 10% 13%

Radio City 14% 8% 9% 13% 12% 11%

AIR 8% 9% 14% 13% 14% 11%

Suryan FM 3% 6% 8% 8% 11% 6%

Big FM 7% 6% 6% 2% 3% 6%

AIR FM GOLD 3% 2% 5% 9% 9% 5%

Fever FM 4% 3% 1% 3% 3% 3%

AIR FM RAINBOW 1% 3% 2% 4% 5% 3%

World Space 5% 0.3% 0.7% 0.1% 0.1% 1%

BBC 0.7% 0.1% 1% 2% 4% 1%

Go FM 1% 0.8% 0.6% 2% 2% 1%

Power FM 2% 0.4% 0.3% 0.9% 0.1% 0.9%

Amar FM 0.2% 0.0% 0.0% 0.0% 0.0% 0.2%

Hum FM 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Others 2% 2% 1% 0.5% 2% 1%

161

Table 80: Top of mind recall for brands

TOM Brands Makemytrip Yatra IRCTC Google Yahoo All travel users

Sample Base 1,060 1,032 1,102 673 508 6,901

Sony 11% 9% 9% 7% 7% 9%

Nokia 6% 10% 7% 7% 9% 8%

Tata 5% 5% 5% 5% 5% 5%

LG 3% 5% 3% 4% 6% 4%

Reliance 3% 3% 3% 3% 3% 3%

HLL 4% 3% 5% 0.9% 3% 3%

Nike 3% 3% 3% 4% 2% 3%

Colgate 2% 3% 3% 2% 1% 2%

Pepsi 2% 2% 2% 2% 0.4% 2%

Samsung 2% 3% 2% 1% 3% 2%

Microsoft 3% 2% 2% 1% 1% 2%

Adidas 2% 1% 1% 6% 1% 2%

HP 2% 0.9% 1% 1% 1% 2%

Maruti 2% 3% 2% 2% 2% 2%

Google 2% 1% 1% 0.7% 5% 2%

Philips 0.8% 0.9% 1% 3% 2% 2%

Coca Cola 2% 2% 1% 1% 0.7% 2%

Reebok 1% 0.7% 3% 1% 1% 1%

Airtel 0.6% 2% 2% 1% 0.3% 1%

IBM 0.7% 0.4% 1% 4% 0.1% 1%

Bajaj 1% 1% 2% 0.6% 3% 1%

Hero Honda 0.4% 0.7% 2% 1% 2% 1%

Godrej 2% 0.9% 0.8% 2% 0.8% 1%

Honda 1% 1% 1% 0.7% 1% 1%

Intel 0.5% 0.3% 1% 3% 2% 0.9%

Levis 1% 0.9% 0.4% 1% 1% 0.9%

Raymonds 0.4% 0.7% 1% 0.6% 0.5% 0.9%

Lakme 2% 0.7% 0.3% 0.8% 1% 0.8%

Lee 0.9% 0.8% 0.5% 0.3% 0.9% 0.7%

Sony Ericsson 0.4% 1% 0.3% 0.5% 0.1% 0.7%

Videocon 0.8% 0.8% 1% 0.6% 0.3% 0.7%

Amul 0.7% 0.6% 0.5% 0.4% 0.5% 0.6%

Cadbury 1% 0.9% 0.1% 0.3% 0.5% 0.6%

Compaq 0.1% 0.2% 0.5% 0.3% 0.3% 0.6%

Onida 0.4% 0.4% 0.5% 0.5% 1% 0.6%

Whirlpool 0.4% 0.2% 0.4% 0.0% 0.3% 0.6%

Motorola 0.7% 0.3% 1% 0.3% 0.2% 0.5%

Nestle 1% 0.0% 0.2% 0.7% 0.3% 0.5%

Peter England 1% 0.5% 0.1% 0.3% 0.1% 0.5%

Wipro 0.1% 0.2% 0.5% 0.8% 0.8% 0.5%

BPL 0.4% 0.4% 0.2% 0.1% 0.6% 0.4%

BSNL 0.2% 0.5% 0.6% 0.3% 0.3% 0.4%

Dell 0.3% 0.6% 0.3% 0.0% 0.4% 0.4%

HCL 0.2% 0.3% 0.6% 0.3% 0.6% 0.4%

Hutch 0.3% 1% 0.3% 0.1% 0.2% 0.4%

Hyundai 1% 0.3% 0.1% 0.4% 0.2% 0.4%

Mercedes 0.5% 0.4% 0.3% 0.3% 0.1% 0.4%

162

Surf 0.3% 0.1% 1% 0.7% 0.1% 0.4%

Apple 0.5% 0.2% 0.4% 0.3% 0.6% 0.4%

Bata 0.2% 0.3% 0.6% 0.0% 0.5% 0.3%

BMW 0.5% 0.3% 0.3% 0.2% 0.3% 0.3%

Britannia 0.3% 0.2% 0.2% 0.3% 0.4% 0.3%

Garnier 0.4% 0.2% 0.2% 0.6% 0.1% 0.3%

ICICI 0.1% 0.4% 0.3% 0.3% 0.2% 0.3%

ITC 0.5% 0.3% 0.2% 0.2% 0.1% 0.3%

Kingfisher 0.3% 0.0% 0.3% 0.0% 0.1% 0.3%

Pantaloon 0.2% 0.1% 0.2% 0.1% 0.4% 0.3%

Parle 0.4% 0.3% 0.7% 0.1% 0.0% 0.3%

Provogue 0.2% 0.2% 0.3% 0.4% 0.0% 0.3%

Titan 0.2% 0.3% 0.2% 0.2% 0.4% 0.3%

Toyota 0.5% 0.1% 0.1% 1% 0.0% 0.3%

Yamaha 0.4% 0.0% 0.3% 0.7% 0.5% 0.3%

Amway 0.4% 0.2% 0.1% 0.2% 0.1% 0.2%

Arrow 0.4% 0.0% 0.1% 0.0% 0.0% 0.2%

Brooke Bond 0.0% 0.9% 0.1% 0.0% 0.2% 0.2%

Close Up 0.3% 0.2% 0.3% 0.2% 0.5% 0.2%

Dabur 0.0% 0.2% 0.7% 0.4% 0.0% 0.2%

Ford 0.2% 0.2% 0.1% 0.0% 0.5% 0.2%

Hamam 0.1% 0.9% 0.0% 0.0% 0.0% 0.2%

Horlicks 0.6% 0.0% 0.1% 0.2% 0.0% 0.2%

Infosys 0.4% 0.1% 0.2% 0.3% 0.0% 0.2%

John Players 0.1% 0.1% 0.1% 0.3% 0.8% 0.2%

Johnson & Johnson 0.1% 0.0% 0.0% 0.3% 0.0% 0.2%

Lenovo 0.1% 0.6% 0.1% 0.0% 0.0% 0.2%

LIC 0.2% 0.2% 0.4% 0.1% 0.0% 0.2%

Lifebuoy 0.2% 0.1% 0.2% 0.5% 0.5% 0.2%

Lux 0.1% 0.0% 0.3% 0.0% 0.2% 0.2%

Suzuki 0.3% 0.0% 0.2% 0.2% 0.1% 0.2%

Pepe 0.1% 0.2% 0.1% 0.2% 0.5% 0.2%

Pepsodent 0.2% 0.1% 0.1% 0.1% 0.4% 0.2%

Ponds 0.0% 0.3% 0.1% 0.4% 0.8% 0.2%

Ray Ban 0.6% 0.2% 0.1% 0.1% 0.6% 0.2%

Revlon 0.0% 1% 0.0% 0.2% 0.0% 0.2%

Santro 0.1% 0.3% 0.2% 0.0% 0.1% 0.2%

Spykar 0.0% 0.1% 0.0% 0.3% 0.1% 0.2%

Thums Up 0.1% 0.2% 0.1% 0.4% 0.1% 0.2%

Times of India 0.2% 0.5% 0.3% 0.1% 0.0% 0.2%

Wills 0.3% 0.3% 0.2% 0.0% 0.0% 0.2%

Allen Solly 0.0% 0.1% 0.1% 0.1% 0.0% 0.1%

Canon 0.2% 0.0% 0.0% 0.0% 0.1% 0.1%

Chevrolet 0.1% 0.0% 0.1% 0.1% 0.0% 0.1%

Denim 0.1% 0.0% 0.0% 0.0% 0.1% 0.1%

Dettol 0.1% 0.0% 0.2% 0.2% 0.0% 0.1%

Fair & Lovely 0.1% 0.1% 0.1% 0.0% 0.5% 0.1%

Ferrari 0.1% 0.1% 0.0% 0.1% 0.0% 0.1%

Fevicol 0.1% 0.1% 0.3% 0.0% 0.3% 0.1%

Gillette 0.2% 0.3% 0.2% 0.1% 0.0% 0.1%

163

Honda City 0.0% 0.1% 0.1% 0.0% 0.1% 0.1%

IFB 0.0% 0.3% 0.1% 0.0% 0.0% 0.1%

ISI 0.0% 0.1% 0.1% 0.4% 0.0% 0.1%

Killer 0.1% 0.0% 0.0% 0.1% 0.1% 0.1%

Kodak 0.1% 0.0% 0.0% 0.6% 0.0% 0.1%

Koutons 0.1% 0.0% 0.1% 0.1% 0.3% 0.1%

L`Oreal 0.3% 0.1% 0.1% 0.3% 0.0% 0.1%

Louis Phillip 0.5% 0.3% 0.0% 0.0% 0.0% 0.1%

Maggi 0.2% 0.0% 0.1% 0.2% 0.0% 0.1%

Mahindra & Mahindra 0.0% 0.0% 0.3% 0.0% 0.2% 0.1%

Mcdonald 0.0% 0.1% 0.1% 0.4% 0.1% 0.1%

MRF 0.0% 0.3% 0.2% 0.3% 0.0% 0.1%

Nescafe 0.2% 0.2% 0.0% 0.1% 0.7% 0.1%

Nirma 0.0% 0.1% 0.1% 0.0% 0.4% 0.1%

P & G 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%

Panasonic 0.1% 0.5% 0.1% 0.0% 0.0% 0.1%

Park Avenue 0.0% 0.0% 0.2% 0.1% 0.1% 0.1%

Red Label 0.0% 0.0% 0.1% 0.0% 0.3% 0.1%

Rediff 0.3% 0.0% 0.0% 0.0% 0.6% 0.1%

Rin 0.2% 0.0% 0.0% 0.0% 0.0% 0.1%

Rolex 0.1% 0.0% 0.1% 0.0% 0.0% 0.1%

Siemens 0.0% 0.3% 0.0% 0.2% 0.0% 0.1%

Sify 0.0% 0.3% 0.1% 0.2% 0.0% 0.1%

Skoda 0.1% 0.4% 0.0% 0.0% 0.0% 0.1%

Tata Indicom 0.3% 0.0% 0.1% 0.0% 0.0% 0.1%

TVS 0.1% 0.2% 0.0% 0.0% 0.0% 0.1%

VIP 0.1% 0.1% 0.1% 0.2% 0.3% 0.1%

Voltas 0.0% 0.0% 0.0% 0.0% 0.1% 0.1%

Woodland 0.2% 0.0% 0.1% 0.2% 0.2% 0.1%

Zodiac 0.0% 0.1% 0.2% 0.0% 0.0% 0.1%

L&T 0.0% 0.0% 0.1% 0.0% 0.0% 0.1%

Ranbaxy 0.1% 0.0% 0.1% 0.0% 0.1% 0.1%

Sahara 0.2% 0.0% 0.0% 0.0% 0.1% 0.1%

Sansui 0.2% 0.0% 0.1% 0.0% 0.0% 0.1%

Armani 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Citi Bank 0.1% 0.0% 0.0% 0.0% 0.0% 0.0%

GE 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Gold Flake 0.2% 0.0% 0.0% 0.1% 0.0% 0.0%

Gucci 0.0% 0.0% 0.0% 0.2% 0.0% 0.0%

HDFC 0.0% 0.0% 0.0% 0.1% 0.0% 0.0%

Mark & Spencer 0.2% 0.0% 0.0% 0.0% 0.0% 0.0%

NIIT 0.0% 0.0% 0.0% 0.4% 0.0% 0.0%

Parker 0.0% 0.0% 0.0% 0.0% 0.2% 0.0%

Pears 0.0% 0.0% 0.2% 0.1% 0.0% 0.0%

Reid & Taylor 0.0% 0.0% 0.1% 0.0% 0.0% 0.0%

SBI 0.2% 0.0% 0.1% 0.0% 0.0% 0.0%

Scorpio 0.0% 0.0% 0.1% 0.0% 0.0% 0.0%

Taj 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Tanishq 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Tata Indica 0.1% 0.0% 0.0% 0.0% 0.0% 0.0%

164

Tata Motors 0.0% 0.0% 0.1% 0.0% 0.0% 0.0%

Tata Tea 0.0% 0.1% 0.0% 0.0% 0.1% 0.0%

Van Huesen 0.0% 0.1% 0.0% 0.0% 0.0% 0.0%

Versace 0.1% 0.0% 0.0% 0.0% 0.0% 0.0%

VSNL 0.0% 0.0% 0.1% 0.0% 0.0% 0.0%

Yahoo 0.0% 0.1% 0.0% 0.1% 0.1% 0.0%

Acer 0.0% 0.0% 0.2% 0.0% 0.0% 0.0%

Axe 0.1% 0.1% 0.0% 0.0% 0.0% 0.0%

Idea 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Lays 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

TCS 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Glaxo 0.0% 0.1% 0.1% 0.0% 0.2% 0.0%

HSBC 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

MTNL 0.0% 0.0% 0.0% 0.0% 0.1% 0.0%

Satyam 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Liberty 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

Others 10% 11% 13% 13% 12% 12%

165

Appendix

166

Table 81: City type classification by market size

REGIONS

North South East West

Metros

Delhi Bangalore Chennai

Coimbatore Hyderabad

Kolkata Ahmadabad Mumbai

Pune Surat

Urban Uptowns

Faridabad Jaipur

Kanpur Lucknow Ludhiana

Patna

Kochi Madurai

Asansol Bhopal Thane Indore

Nagpur Vadodara

Emerging Towns

Amritsar Chandigarh

Dhanbad Ghaziabad

Thiruvanathapuram Tiruchirapalli

Vijayavada Visakhapatanam

Guwahati Aurangabad Goa

Jabalpur Nashik Rajkot

CIT

Y TY

PE B

Y M

AR

KET

SIZ

E2

Others

Agra Allahabad Dehradun Gurgaon Jodhpur Meerut Noida

Ranchi Varanasi

Others from North India

Mangalore Mysore

Secunderabad Others from South

India

Bhubaneswar Cuttack Raipur

Others from East India

Solapur Others from

West India

2 Above segmentation of Indian cities are basis their market size and not by the population size. Market size of a city is calculated basis the total annual household consumption expenditure of all household in that city/district. Total household consumption includes all possible household goods and services that a household usually spends on. For more details refer to ‘Market Skyline of India 2006’ Reports published by Indicus Analytics.

167

Table 82: Socio Economic Classification (SEC) Grid

Chief Wage Earner's Highest Education

Illiterate School

(Up to 4 yrs)

School (5-9 yrs)

Secondary/ High School

Not Grad.

Grad./ PG

(Gen.)

Grad./ PG

(Prof.)

Unskilled worker E E E D D D D

Skilled worker E E D C C B B

Petty traders E D D C C B B

Shop owners D D C B B A A

Businessmen/ industrialists – with no employee

D C B B A A A

Businessmen/ industrialists – with 1 to 9 employee

C B B B A A A

Businessmen/ industrialists – with 10+ employee

B B A A A A A

Self-employed professionals D D D B B A A

Clerical/ salesmen D D D C B B B

Supervisor level D D C C B B A

Officers/ executives (junior) C C C B B A A

Chie

f W

age

Earn

er's

3 Occ

upat

ion

Officers/ executives (middle/ senior)

B B B B A A A

3 Chief Wage Earner is the head of the household who contributes maximum to the monthly household income. It is assumed in Indian marketing and media space that the life style of a household is largely determined by the combination of head of household’s highest level of education and current occupation.

168

Index: Charts Graph 1: Online buying of travel vs. non-travel products................ 10 Graph 2: Buying of online travel products.................................. 12 Chart 3: Gender breakup ...................................................... 26 Chart 4: Age group distribution .............................................. 27 Chart 5: City class - by population size ..................................... 28 Chart 6: City class - by market size.......................................... 29 Chart 7: Region-wise break-ups .............................................. 31 Chart 8: Socio economic classification ...................................... 33 Chart 9: Highest educational qualification ................................. 34 Chart 10: Occupational break up............................................. 35 Chart 11: Function / field of occupation ................................... 36 Chart 12: Head of the household............................................. 37 Chart 13: Monthly family income ............................................ 38 Chart 14: Most expensive vehicle owned by the household.............. 39 Chart 15: Ownership of credit cards (individually)........................ 40 Chart 16: Current loan liabilities............................................. 42 Chart 17: Years of experience in using internet ........................... 43 Chart 18: Place of accessing internet ....................................... 44 Chart 19: Type of internet connection at home ........................... 45 Chart 20: Type of internet connection at office........................... 46 Chart 21: Service provider subscribed to at home ........................ 47 Chart 22: Service provider subscribed to at office........................ 48 Chart 23: Frequency of accessing internet from home ................... 49 Chart 24: Frequency of accessing internet from office................... 50 Chart 25: Time of the day accessing internet from home ............... 51 Chart 26: Time of the day accessing internet from office ............... 52 Chart 27: Duration of PC usage from home................................. 53 Chart 28: Duration of internet usage from home.......................... 54 Chart 29: Duration of PC usage from office ................................ 55 Chart 30: Duration of internet usage from office ......................... 56 Chart 31: Time spent by internet users on watching TV ................. 57 Chart 32: Time spent by internet users on reading newspaper ......... 58 Chart 33: Time spent by internet users on listening to radio ........... 59 Chart 34: Professional activities ............................................. 62 Chart 35: Personal activities.................................................. 63 Chart 36: Downloading activities............................................. 64 Chart 37: E-commerce related activities ................................... 65 Chart 38: Online shopping..................................................... 66 Chart 39: Blogging activities .................................................. 67 Chart 40: Member of an online community................................. 68 Chart 41: Problems faced while surfing the internet ..................... 72 Chart 42: Multiple user shares of email websites ......................... 74 Chart 43: Number of email accounts and average per capita email ids 75 Chart 44: Response to online marketing stimulus ........................ 101

169

Index: Change from Previous Year Graphs Chart 1: Gender breakup ...................................................... 26 Chart 2: Age group distribution .............................................. 27 Chart 3: City class - by market size.......................................... 29 Chart 4: Region-wise break-ups .............................................. 31 Chart 5: Socio economic classification ...................................... 33 Chart 6: Highest educational qualification ................................. 34 Chart 7: Occupational break up .............................................. 35 Chart 8: Function / field of occupation..................................... 36 Chart 9: Head of the household .............................................. 37 Chart 10: Monthly family income ............................................ 38 Chart 11: Most expensive vehicle owned by the household.............. 39 Chart 12: Ownership of credit cards (individually)........................ 40 Chart 13: Years of experience in using internet ........................... 43 Chart 14: Place of accessing internet ....................................... 44 Chart 15: Type of internet connection at home ........................... 45 Chart 16: Type of internet connection at office........................... 46 Chart 17: Service provider subscribed to at home ........................ 47 Chart 18: Service provider subscribed to at office........................ 48 Chart 19: Frequency of accessing internet from home ................... 49 Chart 20: Frequency of accessing internet from office................... 50 Chart 21: Time of the day accessing internet from home ............... 51 Chart 22: Time of the day accessing internet from office ............... 52 Chart 23: Duration of PC usage from home................................. 53 Chart 24: Duration of internet usage from home.......................... 54 Chart 25: Duration of PC usage from office ................................ 55 Chart 26: Duration of internet usage from office ......................... 56 Chart 27: Time spent by internet users on watching TV ................. 57 Chart 28: Time spent by internet users on reading newspaper ......... 58 Chart 29: Time spent by internet users on listening to radio ........... 59 Chart 30: Professional activities ............................................. 62 Chart 31: Personal activities.................................................. 63 Chart 32: Downloading activities............................................. 64 Chart 33: E-commerce related activities ................................... 65 Chart 34: Online shopping..................................................... 66 Chart 35: Multiple user shares of email websites ......................... 74 Chart 36: Number of email accounts and average per capita email ids 75 Chart 37: Response to online marketing stimulus ........................ 101

170

Index: Tables Table 1: Detailed sample base distribution of the land survey ........... 5 Table 2: Most popular online activities (Top 10) .......................... 11 Table 3: Most popular products bought online (Top 5) ................... 11 Table 4: Products with best online search-to-buy conversion ratios (Top 5) .................................................................................. 11 Table 5: Monthly average spends on travel products (per capita)...... 12 Table 6: Profile of online train travel users vis-à-vis all online travel users .............................................................................. 13 Table 7: Online activities undertaken ‘relatively’ more by online travel users .............................................................................. 14 Table 8: Most popular online activities among the online travel users (Top 10) .......................................................................... 14 Table 9: Top 10 online travel booking websites by most preferred usage (including IRCTC) ............................................................... 15 Table 10: Top 10 online travel booking websites by most preferred usage (excluding IRCTC) ....................................................... 16 Table 11: Comparative evaluation of the Top 5 travel websites on some selected attributes ............................................................. 17 Table 12: Popularity of various internet activities ........................ 24 Table 13: Websites for booking travel products ........................... 25 Table 14: Top 10 cities ........................................................ 30 Table 15: Preferred language of reading ................................... 32 Table 16: Household asset ownership ....................................... 41 Table 17: Popularity of various internet activities ........................ 60 Table 18: Membership by type of online community ..................... 69 Table 19: Most used local language websites (other than English) ..... 70 Table 20: Online activities desired in other languages ................... 71 Table 21: Preferred websites - emailing.................................... 73 Table 22: Top of mind unaided recall - all websites ...................... 76 Table 23: Most used website - all websites................................. 77 Table 24: Info search (English) ............................................... 78 Table 25: Info search (local language) ...................................... 79 Table 26: Job search ........................................................... 80 Table 27: Booking travel tickets ............................................. 81 Table 28: Online shopping (other than travel tickets).................... 82 Table 29: Online news ......................................................... 83 Table 30: Financial news & info (rates, quotes, etc.) .................... 84 Table 31: Online share trading ............................................... 85 Table 32: Real estate info..................................................... 86 Table 33: Matrimonial search................................................. 87 Table 34: Dating/friendship search.......................................... 88 Table 35: Social networking/communities ................................. 89 Table 36: Online gaming....................................................... 90 Table 37: Download mobile content......................................... 91 Table 38: Download music .................................................... 92 Table 39: Sports content ...................................................... 93 Table 40: Cinema content..................................................... 94 Table 41: Most used local language websites (other than English) ..... 95 Table 42: Preferred blog sites ................................................ 96 Table 43: Favorite TV channels .............................................. 97 Table 44: Favorite newspapers ............................................... 98 Table 45: Favorite magazines ................................................ 99 Table 46: Favorite radio channels .......................................... 100 Table 47: Tom recall for brands............................................. 102

171

Index: Segment wise Detailed Tables Table 1: Gender breakup..................................................... 104 Table 2: Age group distribution ............................................. 104 Table 3: City class - by population size .................................... 105 Table 4: City class - by market size ........................................ 105 Table 5: Cities.................................................................. 106 Table 6: Region-wise break-ups ............................................. 107 Table 7: Preferred language of reading.................................... 108 Table 8: Socio economic classification..................................... 109 Table 9: Highest educational qualification ................................ 109 Table 10: Occupational break up ........................................... 109 Table 11: Function / field of occupation .................................. 110 Table 12: Head of the household ........................................... 110 Table 13: Monthly family income ........................................... 110 Table 14: Most expensive vehicle owned by the household ............ 111 Table 15: Ownership of credit cards (individually)....................... 111 Table 16: Household asset ownership ...................................... 112 Table 17: Current loan liabilities............................................ 113 Table 18: Years of experience in using internet.......................... 113 Table 19: Place of accessing internet ...................................... 114 Table 20: Type of internet connection at home.......................... 114 Table 21: Type of internet connection at office ......................... 115 Table 22: Service provider subscribed to at home ....................... 115 Table 23: Service provider subscribed to at office....................... 116 Table 24: Frequency of accessing internet from home.................. 116 Table 25: Frequency of accessing internet from office ................. 117 Table 26: Time of the day accessing internet from home .............. 117 Table 27: Time of the day accessing internet from office .............. 118 Table 28: Duration of internet usage from home......................... 118 Table 29: Duration of internet usage from office ........................ 118 Table 30: Duration of internet usage during weekdays.................. 119 Table 31: Duration of internet usage during weekends ................. 119 Table 32: Duration of PC usage from home ............................... 119 Table 33: Duration of PC usage from office ............................... 120 Table 34: Time spent by internet users on watching TV ................ 120 Table 35: Time spent by internet users on reading newspaper ........ 120 Table 36: Time spent by internet users on listening to radio .......... 121 Table 37: Professional activities ............................................ 121 Table 38: Personal activities................................................. 122 Table 39: Downloading activities ........................................... 122 Table 40: E-commerce related activities .................................. 123 Table 41: Online shopping.................................................... 123 Table 42: Blogging activities................................................. 123 Table 43: Member of an online community ............................... 124 Table 44: Membership by type of online community .................... 124 Table 45: Usage of other language websites .............................. 125 Table 46: Online activities desired in other languages .................. 125 Table 47: Problems faced while surfing the internet .................... 126 Table 48: Top of mind unaided recall - all websites ..................... 127 Table 49: Most used website - all websites................................ 129 Table 50: Preferred website for emailing ................................. 130 Table 51: Multiple user shares of email websites ........................ 130 Table 52: Preferred website for job search ............................... 131 Table 53: Preferred website for mobile content ......................... 132

172

Table 54: Preferred website for sports .................................... 133 Table 55: Preferred website for travel products ......................... 134 Table 56: Preferred website for matrimony............................... 135 Table 57: Preferred website for financial news/info .................... 136 Table 58: Preferred website for cinema ................................... 137 Table 59: Preferred website for online share/stock trading............ 138 Table 60: Preferred website for games .................................... 139 Table 61: Preferred website for online shopping......................... 140 Table 62: Preferred website for online news ............................. 141 Table 63: Preferred website for friendship/dating ...................... 142 Table 64: Preferred website for music..................................... 143 Table 65: Preferred info search engine - local language................ 144 Table 66: Preferred website for real estate............................... 144 Table 67: Preferred info search engine - English ......................... 145 Table 68: Preferred website for instant messaging ...................... 145 Table 69: Preferred website for social networking/communities ..... 146 Table 70: Preferred website for astrology................................. 147 Table 71: Preferred website for online learning/education ............ 148 Table 72: Preferred blog sites ............................................... 149 Table 73: Language preferred for local language content .............. 150 Table 74: Preferred website for checking local language content .... 151 Table 75: Response to online marketing stimulus ........................ 152 Table 76: Most preferred TV channel....................................... 153 Table 77: Most preferred newspaper ....................................... 156 Table 78: Most preferred magazine......................................... 158 Table 79: Most preferred radio channel ................................... 160 Table 80: Top of mind recall for brands ................................... 161 Table 81: City type classification by market size ........................ 166 Table 82: Socio Economic Classification (SEC) Grid ...................... 167

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